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In this paper, we present the results of a comprehensive assessment and analysis of five major Antarctic grounding line (GL) products from remote sensing data. The systematic assessment of this large amount of GL data was performed using a new two-step framework and implementation strategy, in which 84.4% of the product data were processed effectively by using a set of developed assessment metrics, with the remaining 15.6% handled by a comprehensive manual processing procedure aided by additional multisource data. The radar GL product shows a high quality (inconsistency of 0.3%) and is recommended for use wherever available. Meanwhile, the optical image GL products show a lower quality (inconsistency of 3–12%) but offer complete coverage, particularly in areas of weak tides. The GL analysis based on the assessed products (1992–2009) showed that 9.5% of the entire Antarctic GL were retreating or advancing, classified as a dynamic state. At the basin scale, the highest retreat rate was −1544 ± 51 m a–1 in Basin 22 (including Pine Island Glacier) and the highest advancement rate was 304 ± 16 m a–1 in Basin 14 (including Mertz Glacier). The West Antarctic Ice Sheet (WAIS) and the East Antarctic Ice Sheet (EAIS) showed the average GL change rates of −370 ± 8 m a–1 and 5 ± 7 m a–1, respectively, indicating that there was a clear trend of GL retreat in WAIS and a balanced to slightly advanced GL state in EAIS (except for the region around Totten).
Rongxing Li; Da Lv; Huan Xie; Yixiang Tian; Yang Xu; Saisai Lu; Xiaohua Tong; Hexia Weng. A comprehensive assessment and analysis of Antarctic satellite grounding line products from 1992 to 2009. Science China Earth Sciences 2021, 64, 1332 -1345.
AMA StyleRongxing Li, Da Lv, Huan Xie, Yixiang Tian, Yang Xu, Saisai Lu, Xiaohua Tong, Hexia Weng. A comprehensive assessment and analysis of Antarctic satellite grounding line products from 1992 to 2009. Science China Earth Sciences. 2021; 64 (8):1332-1345.
Chicago/Turabian StyleRongxing Li; Da Lv; Huan Xie; Yixiang Tian; Yang Xu; Saisai Lu; Xiaohua Tong; Hexia Weng. 2021. "A comprehensive assessment and analysis of Antarctic satellite grounding line products from 1992 to 2009." Science China Earth Sciences 64, no. 8: 1332-1345.
The Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) was launched on September 15, 2018. It is the first photon-counting laser altimeter satellite, which is of great significance for the research into laser altimetry. ICESat-2 is, however, highly sensitive and susceptible to environmental influences. In addition to surface returns, a lot of non-surface photons are found in the data. It is therefore necessary to study an effective method to separate the surface signal from background information. In this paper, we review the existing surface detection methods for photon point cloud data and select seven methods for comparison. Four sources of photon-counting data were considered in the experiments: MABEL, MBL (China), ICESat-2/ATLAS, and MATLAS. Four scenarios of land, land ice, sea ice, and ocean were also considered. Each surface detection method was tested in 12 experiments, and the different methods were finally compared by qualitative and quantitative measures. We were thus able to establish the advantages and disadvantages of each method, which will be of great significance for scholars studying surface detection methods.
Huan Xie; Qi Xu; Dan Ye; Jianghao Jia; Yuan Sun; Peiqi Huang; Ming Li; Shijie Liu; Feng Xie; Xiaolong Hao; Xiaohua Tong. A Comparison and Review of Surface Detection Methods Using MBL, MABEL, and ICESat-2 Photon-Counting Laser Altimetry Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021, PP, 1 -1.
AMA StyleHuan Xie, Qi Xu, Dan Ye, Jianghao Jia, Yuan Sun, Peiqi Huang, Ming Li, Shijie Liu, Feng Xie, Xiaolong Hao, Xiaohua Tong. A Comparison and Review of Surface Detection Methods Using MBL, MABEL, and ICESat-2 Photon-Counting Laser Altimetry Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2021; PP (99):1-1.
Chicago/Turabian StyleHuan Xie; Qi Xu; Dan Ye; Jianghao Jia; Yuan Sun; Peiqi Huang; Ming Li; Shijie Liu; Feng Xie; Xiaolong Hao; Xiaohua Tong. 2021. "A Comparison and Review of Surface Detection Methods Using MBL, MABEL, and ICESat-2 Photon-Counting Laser Altimetry Data." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing PP, no. 99: 1-1.
Urbanization has led to the continuous expansion of built-up areas and the ever-growing urban population, threatening the quantity and quality of urban green space (UGS). Exploring the spatiotemporal variations of UGS is substantially conducive to the formulation of land-use policies to protect the ecosystems. As one of the largest megacities all around the world, Shanghai has experienced rapid urbanization in the past three decades. Insights into how UGS changes in response to urbanization and greening policies are essential for guiding sustainable urban development. This paper employed integrated approaches to characterize the changing patterns and intensities of green space in Shanghai, China from 1990 to 2015. The spatiotemporal dynamics of the UGS pattern were derived through four main methods: green space ratio, dynamic change degree (DCD), transition matrix and landscape metrics. The results showed that Shanghai’s green space decreased from 84.8% in 1990 to 61.9% in 2015 while the built-up areas increased from 15.0% to 36.5%. Among the green space sub-types, farmland was largely encroached and fragmented by urban sprawl, especially in the Outer Ring Expressway and Suburban Ring Expressway belts of the city. About 1522 km2 of the green space has transferred into built-up areas, followed by farmland, waterbody, forest, and grassland in descending order. The 2000–2010 period witnessed the strong urban expansion and dramatic changes in UGS, but then the change around 2015 turned down and stable. The landscape pattern metrics showed that the entire green space in Shanghai was growingly fragmented and isolated during the past 25 years. Combined with the green space-related planning and policies issued in 1990–2015, the results revealed that both rapid urbanization and greening policies accounted for the spatiotemporal dynamics of UGS. Based on the results, some implicants to new urban planning and policies of Shanghai were highlighted.
Song Liu; Xinsu Zhang; Yongjiu Feng; Huan Xie; Li Jiang; Zhenkun Lei. Spatiotemporal Dynamics of Urban Green Space Influenced by Rapid Urbanization and Land Use Policies in Shanghai. Forests 2021, 12, 476 .
AMA StyleSong Liu, Xinsu Zhang, Yongjiu Feng, Huan Xie, Li Jiang, Zhenkun Lei. Spatiotemporal Dynamics of Urban Green Space Influenced by Rapid Urbanization and Land Use Policies in Shanghai. Forests. 2021; 12 (4):476.
Chicago/Turabian StyleSong Liu; Xinsu Zhang; Yongjiu Feng; Huan Xie; Li Jiang; Zhenkun Lei. 2021. "Spatiotemporal Dynamics of Urban Green Space Influenced by Rapid Urbanization and Land Use Policies in Shanghai." Forests 12, no. 4: 476.
The shore zone is the most active zone in the atmosphere, hydrosphere, biosphere and lithosphere of nature, and has the environmental characteristics of both ocean and land. The ICESat-2 satellite provides height measurements of shore zone using a photon-counting LiDAR. The purpose of this study is to explore the application potential of ICESat-2 satellite data in shore zone classification. Saint Lawrence Island, Alaska, was chosen as the study area. Firstly, in this study, the upper and lower boundaries of the shore zone of the study area were extracted based on Google Earth images. The slope and width between the two boundaries were then calculated according to the formula. Secondly, six statistical indicators (standard deviation, relative standard deviation, average absolute deviation, relative average deviation, absolute median error and quartile deviation) related to the substrate and sediment classification that could reflect the characteristics of the shore zone profile were extracted, and the statistical indicators were used as input parameters of the softmax regression model for classification. Finally, the accuracy of the shore zone classification was validated using the ShoreZone classification system. The results show that, among the 246 shore zone sections in the study area, 86% (212) has been correctly classified. The results therefore indicate that ICESat-2 data can be used to support the characterization of shore zone morphology.
Huan Xie; Yuan Sun; Xiaoshuai Liu; Qi Xu; Yalei Guo; Shijie Liu; Xiong Xu; Sicong Liu; Xiaohua Tong. Shore Zone Classification from ICESat-2 Data over Saint Lawrence Island. Marine Geodesy 2021, 1 -13.
AMA StyleHuan Xie, Yuan Sun, Xiaoshuai Liu, Qi Xu, Yalei Guo, Shijie Liu, Xiong Xu, Sicong Liu, Xiaohua Tong. Shore Zone Classification from ICESat-2 Data over Saint Lawrence Island. Marine Geodesy. 2021; ():1-13.
Chicago/Turabian StyleHuan Xie; Yuan Sun; Xiaoshuai Liu; Qi Xu; Yalei Guo; Shijie Liu; Xiong Xu; Sicong Liu; Xiaohua Tong. 2021. "Shore Zone Classification from ICESat-2 Data over Saint Lawrence Island." Marine Geodesy , no. : 1-13.
Satellite stereo mapping, together with laser altimetry, can be used to obtain three-dimensional geospatial information. Spaceborne laser altimeter can provide high-accuracy elevation information; however, due to the lack of detailed intensity information, its planimetric accuracy is usually worse than the ranging accuracy. The Chinese Gaofen-7 (GF-7) satellite, which was designed for civilian mapping application, was launched on November 3, 2019. The GF-7 satellite's main payloads are a laser altimeter system (with footprint camera) and a dual-linear charge-coupled device (CCD) mapping camera. According to the pixel coordinate of the laser footprint in the stereo image, the laser altimeter together with the footprint camera can provide planimetric geodetic coordinates for the control points of a higher accuracy than the other traditional satellite laser altimeters, and represents a new technology for satellite mapping. In this article, a laser footprint planimetric location method for the GF-7 satellite is proposed. The method is designed based on the main payload characteristics of GF-7 and the working modes of the laser altimeter by the combined use of subpixel phase correlation image matching and four types of laser spot center detection methods. The planimetric positioning accuracies of the laser spots in urban, suburban, farmland, forest, mountainous, and ice sheet areas were also analyzed. The experimental results show that the accuracy of planimetric location relative to stereo image for the laser footprint is 0.3-1.0 m (except for ice sheets ~12 m) when the footprint camera works under the synchronous mode, and 0.2-0.4 m when the footprint camera works under asynchronous mode (AM).
Huan Xie; Binbin Li; Xiaohua Tong; Xinwei Zhang; Tao He; Jun Dai; Genghua Huang; Zhijie Zhang; Shijie Liu. A Planimetric Location Method for Laser Footprints of the Chinese Gaofen-7 Satellite Using Laser Spot Center Detection and Image Matching to Stereo Image Product. IEEE Transactions on Geoscience and Remote Sensing 2021, PP, 1 -14.
AMA StyleHuan Xie, Binbin Li, Xiaohua Tong, Xinwei Zhang, Tao He, Jun Dai, Genghua Huang, Zhijie Zhang, Shijie Liu. A Planimetric Location Method for Laser Footprints of the Chinese Gaofen-7 Satellite Using Laser Spot Center Detection and Image Matching to Stereo Image Product. IEEE Transactions on Geoscience and Remote Sensing. 2021; PP (99):1-14.
Chicago/Turabian StyleHuan Xie; Binbin Li; Xiaohua Tong; Xinwei Zhang; Tao He; Jun Dai; Genghua Huang; Zhijie Zhang; Shijie Liu. 2021. "A Planimetric Location Method for Laser Footprints of the Chinese Gaofen-7 Satellite Using Laser Spot Center Detection and Image Matching to Stereo Image Product." IEEE Transactions on Geoscience and Remote Sensing PP, no. 99: 1-14.
Slope correction is important to improve the accuracy of satellite radar elevation measurements by mitigating the slope-induced error (SE), especially over uneven ground surfaces. Although several slope correction methods have been proposed, guidance in the form of stepwise algorithm on how to implement these methods in processing radar altimetric data at the coding level, and the differences among these methods need to be presented and discussed systematically. In this paper, three existing types of slope correction methods—the direct method (DM), intermediate method (IM), and relocation method (RM, further divided into RM1 and RM2)—are described in detail. In addition, their main differences and features for various scientific applications are analyzed. We conduct a systematic experiment with CryoSat-2 Low Resolution Mode (LRM) data in a physically stable area around Dome Argus in East Antarctica, where in-situ measurements were available for comparison. The slope correction is implemented separately using the three methods, with the latest high-accuracy Reference Elevation Model of Antarctica (REMA) as the a-priori topography model. The bias and precision of the slope-corrected CryoSat-2 data results from the RM2 is −0.18 ± 0.86 m based on the comparison with the field Global Navigation Satellite System (GNSS) data. The results from the RM2 indicate higher precision compared to those from the RM1. According to the correlation analysis of the slope-corrected CryoSat-2 data results (RM1 and RM2), the bias enlarges and the precision becomes worse when the surface slope increases from 0 to 0.85°. After a comprehensively comparative analysis, we find that the results from the RM1 and RM2 are superior in precision (0.93 m and 0.86 m) with respect to the GNSS data. The relatively low precision (1.22 m) from the IM is due to the potential error from the a-priori digital elevation model (DEM). The DM has the lowest precision (2.66 m). Another experiment over rough topography in West Antarctica is carried out for comparison, especially between the RM1 (precision of 15.27 m) and RM2 (precision of 16.25 m). In general, the RM is recommended for the SE elimination among the three methods. Moreover, the RM2 is firstly considered over smooth topography due to the superior performance in bias and precision, while the RM1 is more suggested over the rough topography because of the slightly smaller bias and better precision. The IM relies much on the accuracy of the a-prior DEM and is not usually recommended, because of the strict requirement in the sampling time between the radar altimetry data and the a-priori DEM to avoid any surface change over time.
Gang Hai; Huan Xie; Wenjia Du; Menglian Xia; Xiaohua Tong; Rongxing Li. Characterizing slope correction methods applied to satellite radar altimetry data: A case study around Dome Argus in East Antarctica. Advances in Space Research 2021, 67, 2120 -2139.
AMA StyleGang Hai, Huan Xie, Wenjia Du, Menglian Xia, Xiaohua Tong, Rongxing Li. Characterizing slope correction methods applied to satellite radar altimetry data: A case study around Dome Argus in East Antarctica. Advances in Space Research. 2021; 67 (7):2120-2139.
Chicago/Turabian StyleGang Hai; Huan Xie; Wenjia Du; Menglian Xia; Xiaohua Tong; Rongxing Li. 2021. "Characterizing slope correction methods applied to satellite radar altimetry data: A case study around Dome Argus in East Antarctica." Advances in Space Research 67, no. 7: 2120-2139.
Study of the mass balance of the Antarctic Ice Sheet is critical to estimate its potential contribution to global sea-level rise in the future. As the largest drainage system, the Lambert Glacier–Amery Ice Shelf drainage system plays an important role in the mass balance of the Antarctic Ice Sheet. In this study, the ice thickness measured by airborne ice-penetrating radar with high spatial resolution and accuracy and accurate ice velocity measured by in situ GPS stations along the route of the Chinese National Antarctic Research Expedition inland traverse were used to calculate the ice flux with unprecedented accuracy. This transverse is from Zhongshan Station to Dome A, passing through the east side of the Lambert Glacier and the smaller coastal glacier in the C-Cp basin. The results show that the ice flux across the entire traverse is 24.7 ± 2.8 Gt a−1, along which the section in drainage basin B–C (Lambert Glacier) has an ice flux of 20.9 ± 1.9 Gt a−1 and the section in drainage basin C–Cp (basin adjacent to Lambert Glacier) contributed 3.8 ± 0.4 Gt a−1. The ice flux values in both regions are coincident with the mass balance calculated from the Ice, Cloud, and Land Elevation Satellite, Earth Observing System. Meanwhile, the C–Cp basin shows an ice flux value of 6.6 ± 0.8 Gt a−1 across the grounding line.
Xiangbin Cui; Wenjia Du; Huan Xie; Bo Sun. The ice flux to the Lambert Glacier and Amery Ice Shelf along the Chinese inland traverse and implications for mass balance of the drainage basins, East Antarctica. Polar Research 2020, 39, 1 .
AMA StyleXiangbin Cui, Wenjia Du, Huan Xie, Bo Sun. The ice flux to the Lambert Glacier and Amery Ice Shelf along the Chinese inland traverse and implications for mass balance of the drainage basins, East Antarctica. Polar Research. 2020; 39 ():1.
Chicago/Turabian StyleXiangbin Cui; Wenjia Du; Huan Xie; Bo Sun. 2020. "The ice flux to the Lambert Glacier and Amery Ice Shelf along the Chinese inland traverse and implications for mass balance of the drainage basins, East Antarctica." Polar Research 39, no. : 1.
Accurate land cover mapping and change analysis is essential for natural resource management and ecosystem monitoring. GlobeLand30 is a global land cover product from China with 30 m resolution that provides reliable data for many international scientific programs. Few studies have focused on systematically implementing this global land cover product in regional studies. Therefore, this paper presents an object-based extended change vector analysis (ECVA_OB) and transfer learning method to update the reginal land cover map using GlobeLand30 product. The method is designed to highlight small and subtle changes through the concept of uncertain area analysis. Updating is carried out by classifying changed objects using a change-detection-based transfer learning method. Land cover changes are analyzed and the factors affecting updating results are explored. The method was tested with data from Shanghai, China, a city that has experienced significant changes in the past decade. The experimental results show that: (1) the change detection and classification accuracy of the proposed method are 83.30% and 78.77%, respectively, which are significantly better than the values obtained for the multithreshold change vector analysis (MCVA) and the multithreshold change vector analysis and support vector machine (MCVA + SVM) methods; (2) the updated results agree well with GlobeLand30 2010, especially for cultivated land and artificial surfaces, indicating the effectiveness of the proposed method; (3) the most significant changes over the past decade in Shanghai were from cultivated land to artificial surfaces, and the total area containing artificial surfaces in Shanghai increased by about 55% from 2000 to 2011. The factors affecting the updating results are also discussed, which be attributed to the classification accuracy of the base image, extended change vector analysis, and object-based image analysis.
Haiyan Pan; Xiaohua Tong; Xiong Xu; Xin Luo; Yanmin Jin; Huan Xie; Binbin Li. Updating of Land Cover Maps and Change Analysis Using GlobeLand30 Product: A Case Study in Shanghai Metropolitan Area, China. Remote Sensing 2020, 12, 3147 .
AMA StyleHaiyan Pan, Xiaohua Tong, Xiong Xu, Xin Luo, Yanmin Jin, Huan Xie, Binbin Li. Updating of Land Cover Maps and Change Analysis Using GlobeLand30 Product: A Case Study in Shanghai Metropolitan Area, China. Remote Sensing. 2020; 12 (19):3147.
Chicago/Turabian StyleHaiyan Pan; Xiaohua Tong; Xiong Xu; Xin Luo; Yanmin Jin; Huan Xie; Binbin Li. 2020. "Updating of Land Cover Maps and Change Analysis Using GlobeLand30 Product: A Case Study in Shanghai Metropolitan Area, China." Remote Sensing 12, no. 19: 3147.
Due to its high elevation accuracy and wide coverage, satellite laser altimetry plays an important role in many scientific fields, such as polar ice sheet monitoring, vegetation canopy height measurement, and topography mapping. However, the elevation accuracy of satellite laser altimetry data is affected by many factors, such as the atmosphere, instrument noise, terrain fluctuation, etc., which leads to an uncertain accuracy. In this letter, to solve this problem, we propose a method based on random forest to extract satellite laser altimetry footprints that meet the elevation accuracy requirements of certain applications in complex terrain. Using ICESat, we take the elevation control point accuracy requirement for 1:10 000 mapping as an example to verify the proposed method. Experimental results show that the elevation root mean square errors (RMSEs) of the selected high-quality footprints are 0.41, 0.70, and 0.87 m in flat land, hills land, and mountainous areas, respectively, which meets the requirements of 1:10 000 topography mapping. The percentage of extracted footprints that meet the elevation accuracy requirement from the three terrains are all higher than 90%.
Binbin Li; Huan Xie; Xiaohua Tong; Zhijie Zhang; Shijie Liu. Extracting Satellite Laser Altimetry Footprints With the Required Accuracy by Random Forest. IEEE Geoscience and Remote Sensing Letters 2020, 18, 1347 -1351.
AMA StyleBinbin Li, Huan Xie, Xiaohua Tong, Zhijie Zhang, Shijie Liu. Extracting Satellite Laser Altimetry Footprints With the Required Accuracy by Random Forest. IEEE Geoscience and Remote Sensing Letters. 2020; 18 (8):1347-1351.
Chicago/Turabian StyleBinbin Li; Huan Xie; Xiaohua Tong; Zhijie Zhang; Shijie Liu. 2020. "Extracting Satellite Laser Altimetry Footprints With the Required Accuracy by Random Forest." IEEE Geoscience and Remote Sensing Letters 18, no. 8: 1347-1351.
In satellite laser altimetry, it is a challenging task to accurately extract peak positions from full waveforms due to the overlapped or weak peaks within the large laser footprints, which substantially affects the subsequent applications. In this paper, to improve the laser ranging resolution and accuracy, we propose a novel approach by combining deconvolution with Gaussian decomposition. The approach is applied in two main phases: 1) the deconvolution is first used to remove the system contribution (the transmit pulse spreading over several nanoseconds, system noise); and 2) Gaussian decomposition is then adopted to extract the peak parameters of each object. Experiments using simulated and ICESat waveforms were conducted to validate and evaluate the proposed approach by comparing it to the benchmark Gaussian decomposition technique. The results indicated that: 1) the combined approach can significantly improve the peak detection rate: the four combined methods found at least 15.8% more echoes in simulated forested areas; and 2) for ICESat waveforms, the quantitative evaluation and visual assessment of the Blind -Gaussian combination obtained more echoes (on average, approximately 2.5 components) than the other combinations (on average, approximately 1.5 and 1.2 components), and the derived relative object heights were very close to the results obtained from airborne LiDAR data. These results confirmed that the Blind -Gaussian combination is more accurate for the range retrieval of vegetated and urbanized landscapes.
Zhijie Zhang; Huan Xie; Xiaohua Tong; Hanwei Zhang; Hong Tang; Binbin Li; Di Wu; Xiaolong Hao; Shijie Liu; Xiong Xu; Sicong Liu; Peng Chen; Yongjiu Feng; Chao Wang; Yanmin Jin. A Combined Deconvolution and Gaussian Decomposition Approach for Overlapped Peak Position Extraction From Large-Footprint Satellite Laser Altimeter Waveforms. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020, 13, 2286 -2303.
AMA StyleZhijie Zhang, Huan Xie, Xiaohua Tong, Hanwei Zhang, Hong Tang, Binbin Li, Di Wu, Xiaolong Hao, Shijie Liu, Xiong Xu, Sicong Liu, Peng Chen, Yongjiu Feng, Chao Wang, Yanmin Jin. A Combined Deconvolution and Gaussian Decomposition Approach for Overlapped Peak Position Extraction From Large-Footprint Satellite Laser Altimeter Waveforms. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020; 13 (99):2286-2303.
Chicago/Turabian StyleZhijie Zhang; Huan Xie; Xiaohua Tong; Hanwei Zhang; Hong Tang; Binbin Li; Di Wu; Xiaolong Hao; Shijie Liu; Xiong Xu; Sicong Liu; Peng Chen; Yongjiu Feng; Chao Wang; Yanmin Jin. 2020. "A Combined Deconvolution and Gaussian Decomposition Approach for Overlapped Peak Position Extraction From Large-Footprint Satellite Laser Altimeter Waveforms." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, no. 99: 2286-2303.
Xiaohua Tong; Haiyan Pan; Sicong Liu; Binbin Li; Xin Luo; Huan Xie; Xiong Xu. A Novel Approach for Hyperspectral Change Detection Based on Uncertain Area Analysis and Improved Transfer Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020, 13, 2056 -2069.
AMA StyleXiaohua Tong, Haiyan Pan, Sicong Liu, Binbin Li, Xin Luo, Huan Xie, Xiong Xu. A Novel Approach for Hyperspectral Change Detection Based on Uncertain Area Analysis and Improved Transfer Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020; 13 ():2056-2069.
Chicago/Turabian StyleXiaohua Tong; Haiyan Pan; Sicong Liu; Binbin Li; Xin Luo; Huan Xie; Xiong Xu. 2020. "A Novel Approach for Hyperspectral Change Detection Based on Uncertain Area Analysis and Improved Transfer Learning." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, no. : 2056-2069.
Learning high-level semantic information is important for the task of remote sensing(RS) image scene classification. Due to the great intraclass diversities and the interclass similarities, many researchers have explored the convolutional neural network(CNN) to handle this task recently. However, RS images usually have confusing backgrounds, such as the relevant objects, and features only derived from the whole RS images can not achieve satisfying results. Additionally, the great intraclass diversities also increase the difficulty of recognizing the RS images correctly. To solve the problem, the multi-view feature learning network(MVFLN) is proposed to obtain three domain-specific features for the scene categorization task. FC layers in the VGGNet are replaced by the channel-spatial branch and the other multiple metric branchs. The channel-spatial branch is utilized to localize and learn discriminative regions while the triplet metric branch and the center metric branch are used to enlarge the distance between different classes and reduce the distance of samples belonging to the same class, respectively. In this situation, the proposed MVFLN conducts in a concise way without extra SVM classifiers, achieving better performance. Experiments conducted on the AID, NWPU-RESISC45 and UC Merced datasets evaluate its effectiveness.
Yiyou Guo; Jinsheng Ji; Dan Shi; Qiankun Ye; Huan Xie. Multi-view feature learning for VHR remote sensing image classification. Multimedia Tools and Applications 2020, 80, 23009 -23021.
AMA StyleYiyou Guo, Jinsheng Ji, Dan Shi, Qiankun Ye, Huan Xie. Multi-view feature learning for VHR remote sensing image classification. Multimedia Tools and Applications. 2020; 80 (15):23009-23021.
Chicago/Turabian StyleYiyou Guo; Jinsheng Ji; Dan Shi; Qiankun Ye; Huan Xie. 2020. "Multi-view feature learning for VHR remote sensing image classification." Multimedia Tools and Applications 80, no. 15: 23009-23021.
Full-waveform decomposition is crucial for obtaining accurate satellite-ground distance, the accuracy of which is severely affected by noises. However, the traditional filters all depend on filtering parameters. This paper presents a new and adaptive method for denoising based on empirical mode decomposition (EMD) and Hurst analysis (EMD-Hurst). The noisy full-waveforms are first decomposed into their intrinsic mode functions (IMFs), and the Hurst exponent of each IMF is established by the detrended fluctuation analysis. The IMF is regarded as the high-frequency noise and is deleted if its Hurst exponent is ≤0.5. Both simulated and real full-waveforms were conducted to validate and evaluate the method by comparing with six other IMF selection methods via metrics like waveform decomposition consistency ratio (CR), average error of decomposition parameters, and ICESat/GLAS waveform-parameter product GLAH05. The comparisons show that: (1) under different SNR conditions, EMD-Hurst performs robustly and obtains a higher CR than other EMD based methods; (2) obtains the highest average CR and a relatively lower average error for the echo parameters; and (3) peak numbers and fitting accuracy for GLAH01 are more reasonable and precise than those of GLAH05, which could offer a good reference for the processing on future space-borne full-waveform data.
Zhijie Zhang; Huan Xie; Xiaohua Tong; Hanwei Zhang; Yang Liu; Binbin Li. Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis. International Journal of Digital Earth 2019, 13, 1212 -1229.
AMA StyleZhijie Zhang, Huan Xie, Xiaohua Tong, Hanwei Zhang, Yang Liu, Binbin Li. Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis. International Journal of Digital Earth. 2019; 13 (11):1212-1229.
Chicago/Turabian StyleZhijie Zhang; Huan Xie; Xiaohua Tong; Hanwei Zhang; Yang Liu; Binbin Li. 2019. "Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis." International Journal of Digital Earth 13, no. 11: 1212-1229.
Many high-resolution optical satellites suffer from the issue of attitude jitter that restricts the geometric quality and imaging performance. Recently, detection and estimation of spacecraft attitude jitter from imaging sensors has attracted extensive attentions because of its convenience and flexibility. Due to the existence of other impacting factors such as topographic effect, the image-based attitude jitter estimation in the along-track direction is a more challenging task and thus has been less concerned than that in the cross-track direction. This paper proposes a novel along-track jitter estimation method based on relative residuals of tri-band multispectral imagery, which effectively removes the influence of topographic effect and integration time variation. The relative residuals without the influence of topographic information are firstly acquired from a three-line parallax observation system using a precise dense matching scheme with subpixel phase correlation. The influence of integration time variation is analyzed and removed through the specific processing. Finally, the along-track attitude jitter is estimated from the relative residuals according to the harmonic addition theorem in the spatial-domain rebuilding method, and by means of Fourier transform and nonlinear optimization in the frequency-domain rebuilding method. Experiments were carried out with ZiYuan-3 (ZY-3) multispectral imagery. The comparisons with the conventional method and the attitude measurement data validate the feasibility and reliability of the proposed method, and the topographic parallax analysis after distortion correction demonstrates the performance of jitter compensation using the estimated results. In addition, a further multitemporal analysis confirms the discovery of attitude jitter with a new frequency component of around 0.2 Hz in the along-track direction and reveals the varying trends for the along-track attitude jitter of ZY-3 satellite.
Zhen Ye; Yusheng Xu; Xiaohua Tong; Shouzhu Zheng; Han Zhang; Huan Xie; Uwe Stilla. Estimation and analysis of along-track attitude jitter of ZiYuan-3 satellite based on relative residuals of tri-band multispectral imagery. ISPRS Journal of Photogrammetry and Remote Sensing 2019, 158, 188 -200.
AMA StyleZhen Ye, Yusheng Xu, Xiaohua Tong, Shouzhu Zheng, Han Zhang, Huan Xie, Uwe Stilla. Estimation and analysis of along-track attitude jitter of ZiYuan-3 satellite based on relative residuals of tri-band multispectral imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 2019; 158 ():188-200.
Chicago/Turabian StyleZhen Ye; Yusheng Xu; Xiaohua Tong; Shouzhu Zheng; Han Zhang; Huan Xie; Uwe Stilla. 2019. "Estimation and analysis of along-track attitude jitter of ZiYuan-3 satellite based on relative residuals of tri-band multispectral imagery." ISPRS Journal of Photogrammetry and Remote Sensing 158, no. : 188-200.
Fourier-based image correlation is a powerful area-based image registration technique, which involves aligning images based on a translation model or similarity model by means of the image information and operation in the frequency domain. In recent years, Fourier-based image correlation has made significant progress and attracted extensive research interest in a variety of applications, especially in the field of photogrammetry and remote sensing, leading to the development of a number of subpixel methods that have improved the accuracy and robustness. However, to date, a detailed review of the literature related to Fourier-based image correlation is still lacking. In this review, we aim at providing a comprehensive overview of the fundamentals, developments, and applications of image registration with Fourier-based image correlation methods. Specifically, this review introduces the principal laws underlying these methods, presents a survey of the existing subpixel methods calculated both in the spatial domain and in the frequency domain, summarizes the major applications from three aspects, and discusses the challenges and possible directions of future research. This review is expected to be beneficial for researchers working in the relevant fields to obtain an insight into the current state of the art, to develop new variants, to explore potential applications, and to suggest promising future trends of image registration with Fourier-based image correlation.
Xiaohua Tong; Zhen Ye; Yusheng Xu; Sa Gao; Huan Xie; Qian Du; Shijie Liu; Xiong Xu; Sicong Liu; Kuifeng Luan; Uwe Stilla. Image Registration With Fourier-Based Image Correlation: A Comprehensive Review of Developments and Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2019, 12, 4062 -4081.
AMA StyleXiaohua Tong, Zhen Ye, Yusheng Xu, Sa Gao, Huan Xie, Qian Du, Shijie Liu, Xiong Xu, Sicong Liu, Kuifeng Luan, Uwe Stilla. Image Registration With Fourier-Based Image Correlation: A Comprehensive Review of Developments and Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019; 12 (10):4062-4081.
Chicago/Turabian StyleXiaohua Tong; Zhen Ye; Yusheng Xu; Sa Gao; Huan Xie; Qian Du; Shijie Liu; Xiong Xu; Sicong Liu; Kuifeng Luan; Uwe Stilla. 2019. "Image Registration With Fourier-Based Image Correlation: A Comprehensive Review of Developments and Applications." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12, no. 10: 4062-4081.
High‐speed cameras are able to effectively and efficiently obtain the location of moving objects over time in many practical applications. In order to meet the requirement for fast computing and processing in the object‐tracking process, this paper adopts parallel computing to process multiple video‐image sequences by using open multi‐processing (OpenMP) and single‐instruction multiple data (SIMD) simultaneously, combined with a coarse‐to‐fine matching method. Experimental results showed that the proposed method: (1) has a high accuracy compared with other methods; (2) demonstrates a higher computational efficiency than other methods; and (3) has an efficiency running on a laptop equivalent to other methods running on a computer workstation.
Xiaohua Tong; Shouzhu Zheng; Sa Gao; Sicong Liu; Peng Chen; Chengcheng Guo; Shijie Liu; Huan Xie; Yanmin Jin; Zhen Ye; Xiong Xu; Chao Wei; Lintao Hu. Acceleration of object tracking in high‐speed videogrammetry using a parallel OpenMP and SIMD strategy. The Photogrammetric Record 2019, 34, 174 -197.
AMA StyleXiaohua Tong, Shouzhu Zheng, Sa Gao, Sicong Liu, Peng Chen, Chengcheng Guo, Shijie Liu, Huan Xie, Yanmin Jin, Zhen Ye, Xiong Xu, Chao Wei, Lintao Hu. Acceleration of object tracking in high‐speed videogrammetry using a parallel OpenMP and SIMD strategy. The Photogrammetric Record. 2019; 34 (166):174-197.
Chicago/Turabian StyleXiaohua Tong; Shouzhu Zheng; Sa Gao; Sicong Liu; Peng Chen; Chengcheng Guo; Shijie Liu; Huan Xie; Yanmin Jin; Zhen Ye; Xiong Xu; Chao Wei; Lintao Hu. 2019. "Acceleration of object tracking in high‐speed videogrammetry using a parallel OpenMP and SIMD strategy." The Photogrammetric Record 34, no. 166: 174-197.
Full‐field deformation measurement of specific materials is an important issue in civil engineering materials testing. This paper presents a flexible videogrammetric scheme to measure full‐field deformation of an artificial rock‐like material under uniaxial compression. In this scheme, two high‐speed cameras were used to measure the spatial morphological changes of the material surface, which was sprayed with a speckle pattern. A robust self‐adaptive window matching strategy is then proposed to extract accurate displacements of tracking points. Finally, three‐dimensional (3D) point clouds and full‐field deformation can be calculated by photogrammetric and spatiotemporal analysis. Simulation and empirical tests demonstrated that the self‐adaptive window matching strategy used with high‐speed videogrammetric speckle image sequences can detect more subtle deformation and avoid more mismatches than a fixed‐window matching strategy.
Sa Gao; Xiaohua Tong; Peng Chen; Zhen Ye; Ouling Hu; Benkang Wang; Cheng Zhao; Shijie Liu; Huan Xie; Yanmin Jin; Xiong Xu; Sicong Liu; Chao Wei. Full‐field deformation measurement by videogrammetry using self‐adaptive window matching. The Photogrammetric Record 2019, 34, 36 -62.
AMA StyleSa Gao, Xiaohua Tong, Peng Chen, Zhen Ye, Ouling Hu, Benkang Wang, Cheng Zhao, Shijie Liu, Huan Xie, Yanmin Jin, Xiong Xu, Sicong Liu, Chao Wei. Full‐field deformation measurement by videogrammetry using self‐adaptive window matching. The Photogrammetric Record. 2019; 34 (165):36-62.
Chicago/Turabian StyleSa Gao; Xiaohua Tong; Peng Chen; Zhen Ye; Ouling Hu; Benkang Wang; Cheng Zhao; Shijie Liu; Huan Xie; Yanmin Jin; Xiong Xu; Sicong Liu; Chao Wei. 2019. "Full‐field deformation measurement by videogrammetry using self‐adaptive window matching." The Photogrammetric Record 34, no. 165: 36-62.
The Fourier-based image correlation technique has been widely concerned due to its accuracy, efficiency, and robustness to image contrast and brightness. Accordingly, a variety of subpixel methods have been proposed. However, the detailed subpixel-level influence of the complicated radiometric variations has yet to be investigated, and few corresponding improvements have been made. This paper presents a novel illumination-robust subpixel Fourier-based image correlation method based on phase congruency. Both the magnitude and orientation information of the phase congruency features are adopted to construct a structural image representation. The image representation is then embedded into the correlation scheme of the subpixel methods, either by linear phase estimation in the frequency domain or by kernel fitting in the spatial domain, achieving two improved subpixel methods. The proposed methods integrate the advantages of the structural image representation and the original correlation scheme, and make full use of both global and local phase information to achieve illumination-robust correlation. Experiments undertaken with both simulated and real radiometric differences were carried out with ground-truth subpixel shifts. The performances of the proposed methods and the other state-of-the-art subpixel Fourier-based correlation methods were evaluated and compared. The experimental results indicate that the proposed methods outperform the other methods in the presence of diverse radiometric variations, in both accuracy and robustness.
Zhen Ye; Xiaohua Tong; Shouzhu Zheng; Chengcheng Guo; Sa Gao; Shijie Liu; Xiong Xu; Yanmin Jin; Huan Xie; Sicong Liu; Peng Chen. Illumination-Robust Subpixel Fourier-Based Image Correlation Methods Based on Phase Congruency. IEEE Transactions on Geoscience and Remote Sensing 2018, 57, 1995 -2008.
AMA StyleZhen Ye, Xiaohua Tong, Shouzhu Zheng, Chengcheng Guo, Sa Gao, Shijie Liu, Xiong Xu, Yanmin Jin, Huan Xie, Sicong Liu, Peng Chen. Illumination-Robust Subpixel Fourier-Based Image Correlation Methods Based on Phase Congruency. IEEE Transactions on Geoscience and Remote Sensing. 2018; 57 (4):1995-2008.
Chicago/Turabian StyleZhen Ye; Xiaohua Tong; Shouzhu Zheng; Chengcheng Guo; Sa Gao; Shijie Liu; Xiong Xu; Yanmin Jin; Huan Xie; Sicong Liu; Peng Chen. 2018. "Illumination-Robust Subpixel Fourier-Based Image Correlation Methods Based on Phase Congruency." IEEE Transactions on Geoscience and Remote Sensing 57, no. 4: 1995-2008.
Videogrammetry is an extension to close-range photogrammetry which provides a convenient way to capture the three-dimensional (3D) dynamic response of moving objects in a non-contact manner. The performance of tracking in image sequence is crucial to the measurement accuracy. This paper proposes an improved subpixel phase correlation method for tracking in image sequence, which combines the advantages of gradient representation, robust plane fitting and robustness iteration. By the use of the proposed phase correlation based tracking method and other advanced image processing algorithms, a practical videogrammetric measurement system is presented to provide an alternative means to monitor and analyze 3D structural vibration deformations. Two simulated tests as well as one static test are performed to demonstrate the superiority and reliability of the proposed phase correlation method. The empirical experimental results of the monitoring of large-scale shaking table tests with a landslide dam model, including coordinate comparisons with the total station and acceleration comparisons with the original waveform and acceleration sensors, confirm the effectiveness of the videogrammetric measurement system based on the improved subpixel phase correlation method.
Zhen Ye; Xiaohua Tong; Yusheng Xu; Sa Gao; Shijie Liu; Huan Xie; Peng Chen; Wensheng Lu; Xianglei Liu. An Improved Subpixel Phase Correlation Method with Application in Videogrammetric Monitoring of Shaking Table Tests. Photogrammetric Engineering & Remote Sensing 2018, 84, 579 -592.
AMA StyleZhen Ye, Xiaohua Tong, Yusheng Xu, Sa Gao, Shijie Liu, Huan Xie, Peng Chen, Wensheng Lu, Xianglei Liu. An Improved Subpixel Phase Correlation Method with Application in Videogrammetric Monitoring of Shaking Table Tests. Photogrammetric Engineering & Remote Sensing. 2018; 84 (9):579-592.
Chicago/Turabian StyleZhen Ye; Xiaohua Tong; Yusheng Xu; Sa Gao; Shijie Liu; Huan Xie; Peng Chen; Wensheng Lu; Xianglei Liu. 2018. "An Improved Subpixel Phase Correlation Method with Application in Videogrammetric Monitoring of Shaking Table Tests." Photogrammetric Engineering & Remote Sensing 84, no. 9: 579-592.
Xiong Xu; Xiaohua Tong; Antonio Plaza; Jun Li; Yanfei Zhong; Huan Xie; Liangpei Zhang. A New Spectral-Spatial Sub-Pixel Mapping Model for Remotely Sensed Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing 2018, 56, 6763 -6778.
AMA StyleXiong Xu, Xiaohua Tong, Antonio Plaza, Jun Li, Yanfei Zhong, Huan Xie, Liangpei Zhang. A New Spectral-Spatial Sub-Pixel Mapping Model for Remotely Sensed Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 2018; 56 (11):6763-6778.
Chicago/Turabian StyleXiong Xu; Xiaohua Tong; Antonio Plaza; Jun Li; Yanfei Zhong; Huan Xie; Liangpei Zhang. 2018. "A New Spectral-Spatial Sub-Pixel Mapping Model for Remotely Sensed Hyperspectral Imagery." IEEE Transactions on Geoscience and Remote Sensing 56, no. 11: 6763-6778.