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A unique illness, the coronavirus disease 2019 (COVID-19), emerged in Wuhan, People’s Republic of China, in December 2019. To reduce the spread of the virus, strict lockdown policies and control measures were put in place all over the world. Due to these enforced limitations, a drastic drop in air pollution and an improvement in air quality were observed. The present study used six air pollutants (PM10, PM2.5, SO2, NO2, CO and O3) to observe trends before, during and after the COVID-19 lockdown period in Nanjing, China. The data were divided into six phases: P1–P3, pre-lockdown (1 October–31 December 2019), lockdown (1 January–31 March 2020), after lockdown (1 April–30 June 2020), P4–P6: the same dates as the lockdown but during 2017, 2018 and 2019. The results indicate that compared with the pre-lockdown phase, the PM10 and PM2.5 average concentrations decreased by –27.71% and –5.09%. Compared with the previous three years, 2017–2019, the reductions in PM10 and PM2.5 were –37.99% and –33.56%, respectively. Among other pollutants, concentrations of SO2 (–32.90%), NO2 (–34.66%) and CO (–16.85%) also decreased during the lockdown, while the concentration of O3 increased by approximately 25.45%. Moreover, compared with the pre- and during lockdown phases, PM10, PM2.5 and NO2 showed decreasing trends while SO2, CO and O3 concentrations increased. These findings present a road map for upcoming studies and provide a new path for policymakers to create policies to improve air quality.
Ahmad Hasnain; Muhammad Hashmi; Uzair Bhatti; Basit Nadeem; Geng Wei; Yong Zha; Yehua Sheng. Assessment of Air Pollution before, during and after the COVID-19 Pandemic Lockdown in Nanjing, China. Atmosphere 2021, 12, 743 .
AMA StyleAhmad Hasnain, Muhammad Hashmi, Uzair Bhatti, Basit Nadeem, Geng Wei, Yong Zha, Yehua Sheng. Assessment of Air Pollution before, during and after the COVID-19 Pandemic Lockdown in Nanjing, China. Atmosphere. 2021; 12 (6):743.
Chicago/Turabian StyleAhmad Hasnain; Muhammad Hashmi; Uzair Bhatti; Basit Nadeem; Geng Wei; Yong Zha; Yehua Sheng. 2021. "Assessment of Air Pollution before, during and after the COVID-19 Pandemic Lockdown in Nanjing, China." Atmosphere 12, no. 6: 743.
In aerial multi-view photogrammetry, whether there is a special positional distribution pattern among candidate homologous pixels of a matching pixel in the multi-view images? If so, can this positional pattern be used to precisely confirm the real homologous pixels? These problems have not been studied at present. Therefore, the study of the positional distribution pattern among candidate homologous pixels based on the adjustment theory in surveying is investigated in this paper. Firstly, the definition and computing method of pixel’s pseudo object-space coordinates are given, which can transform the problem of multi-view matching for confirming real homologous pixels into the problem of surveying adjustment for computing the pseudo object-space coordinates of the matching pixel. Secondly, according to the surveying adjustment theory, the standardized residual of each candidate homologous pixel of the matching pixel is figured out, and the positional distribution pattern among these candidate pixels is theoretically inferred utilizing the quantitative index of standardized residual. Lastly, actual aerial images acquired by different sensors are used to carry out experimental verification of the theoretical inference. Experimental results prove not only that there is a specific positional distribution pattern among candidate homologous pixels, but also that this positional distribution pattern can be used to develop a new object-side multi-view image matching method. The proposed study has an important reference value on resolving the defects of existing image-side multi-view matching methods at the mechanism level.
Ka Zhang; Wen Xiao; Yehua Sheng; Junshu Wang; Shan Zhang; Longjie Ye. A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching. Scientific Reports 2021, 11, 1 -21.
AMA StyleKa Zhang, Wen Xiao, Yehua Sheng, Junshu Wang, Shan Zhang, Longjie Ye. A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching. Scientific Reports. 2021; 11 (1):1-21.
Chicago/Turabian StyleKa Zhang; Wen Xiao; Yehua Sheng; Junshu Wang; Shan Zhang; Longjie Ye. 2021. "A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching." Scientific Reports 11, no. 1: 1-21.
When using very high-resolution (VHR) remote sensing images acquired at different times to detect building changes, the building positional inconsistencies caused by different satellite imaging angles are an outstanding issue. To tackle this problem, a novel building change detection method based on pseudo-orthorectification (PO) is proposed. First, to determine the building displacement value, a fast line detection method is used to accurately extract the building vertical facade contour lines under the constraint of the Object Space Positioning Consistency (OSPC). Second, the building roof sample selection is automatically conducted under the constraint of building facade contour lines, and the Grab-Cut algorithm is used to extract the roofs combining with corresponding geometric rules. Then, the roof of each building is shifted along the elevation line to its real location. Finally, subtraction is applied to generate the difference image, and reliable change information is obtained by integrating NDVI and shadow information of the building. Three sets of WorldView and QuickBird satellite images are used to compare the proposed method with three state-of-the-art methods. The experimental results show that the average accuracy of the proposed method can reach 92.80%, which is 12.66% higher than that of compared methods.
Hui Chen; Ka Zhang; Wen Xiao; Yehua Sheng; Liang Cheng; Wei Zhou; Pengbo Wang; Dong Su; Longjie Ye; Shan Zhang. Building change detection in very high-resolution remote sensing image based on pseudo-orthorectification. International Journal of Remote Sensing 2021, 42, 2686 -2705.
AMA StyleHui Chen, Ka Zhang, Wen Xiao, Yehua Sheng, Liang Cheng, Wei Zhou, Pengbo Wang, Dong Su, Longjie Ye, Shan Zhang. Building change detection in very high-resolution remote sensing image based on pseudo-orthorectification. International Journal of Remote Sensing. 2021; 42 (7):2686-2705.
Chicago/Turabian StyleHui Chen; Ka Zhang; Wen Xiao; Yehua Sheng; Liang Cheng; Wei Zhou; Pengbo Wang; Dong Su; Longjie Ye; Shan Zhang. 2021. "Building change detection in very high-resolution remote sensing image based on pseudo-orthorectification." International Journal of Remote Sensing 42, no. 7: 2686-2705.
A sketch map represents an individual’s perception of a specific location. However, the information in sketch maps is often distorted and incomplete. Nevertheless, the main roads of a given location often exhibit considerable similarities between the sketch maps and metric maps. In this work, a shape-based approach was outlined to align roads in the sketch maps and metric maps. Specifically, the shapes of main roads were compared and analyzed quantitatively and qualitatively in three levels pertaining to an individual road, composite road, and road scene. An experiment was performed in which for eight out of nine maps sketched by our participants, accurate road maps could be obtained automatically taking as input the sketch and the metric map. The experimental results indicate that accurate matches can be obtained when the proposed road alignment approach Shape-based Spatial-Query-by-Sketch (SSQbS) is applied to incomplete or distorted roads present in sketch maps and even to roads with an inconsistent spatial relationship with the roads in the metric maps. Moreover, highly similar matches can be obtained for sketches involving fewer roads.
Ming Tang; Zoe Falomir; Yehua Sheng. A Multilevel Road Alignment Model for Spatial-Query-By-Sketch. Applied Sciences 2020, 10, 7685 .
AMA StyleMing Tang, Zoe Falomir, Yehua Sheng. A Multilevel Road Alignment Model for Spatial-Query-By-Sketch. Applied Sciences. 2020; 10 (21):7685.
Chicago/Turabian StyleMing Tang; Zoe Falomir; Yehua Sheng. 2020. "A Multilevel Road Alignment Model for Spatial-Query-By-Sketch." Applied Sciences 10, no. 21: 7685.
Unstructured geo-text annotations volunteered by users of web map services enrich the basic geographic data. However, irrelevant geo-texts can be added to the web map, and these geo-texts reduce utility to users. Therefore, this study proposes a method to detect uncorrelated geo-text annotations based on Voronoi k-order neighborhood partition and auto-correlation statistical models. On the basis of the geo-text classification and semantic vector transformation, a quantitative description method for spatial autocorrelation was established by the Voronoi weighting method of inverse vicinity distance. The Voronoi k-order neighborhood self-growth strategy was used to detect the minimum convergence neighborhood for spatial autocorrelation. The Pearson method was used to calculate the correlation degree of the geo-text in the convergence region and then deduce the type of geo-text to be filtered. Experimental results showed that for given geo-text types in the study region, the proposed method effectively calculated the correlation between new geo-texts and the convergence region, providing an effective suggestion for preventing uncorrelated geo-text from uploading to the web map environment.
Yufeng He; Yehua Sheng; Yunqing Jing; Yue Yin; Ahmad Hasnain. Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps. ISPRS International Journal of Geo-Information 2020, 9, 381 .
AMA StyleYufeng He, Yehua Sheng, Yunqing Jing, Yue Yin, Ahmad Hasnain. Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps. ISPRS International Journal of Geo-Information. 2020; 9 (6):381.
Chicago/Turabian StyleYufeng He; Yehua Sheng; Yunqing Jing; Yue Yin; Ahmad Hasnain. 2020. "Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps." ISPRS International Journal of Geo-Information 9, no. 6: 381.
In geography, invariant aspects of sketches are essential to study because they reflect the human perception of real‐world places. A person's perception of a place can be expressed in sketches. In this article, we quantitatively and qualitatively analyzed the characteristics of single objects and characteristics among objects in sketches and the real world to find reliable invariants that can be used to establish references/correspondences between sketch and world in a matching process. These characteristics include category, shape, name, and relative size of each object. Moreover, quantity and spatial relationships—such as topological, ordering, and location relationships—among all objects are also analyzed to assess consistency between sketched and actual places. The approach presented in this study extracts the reliable invariants for query‐by‐sketch and prioritizes their relevance for a sketch‐map matching process.
Ming Tang; Zoe Falomir; Christian Freksa; Yehua Sheng; Haiyang Lyu. Extracting invariant characteristics of sketch maps: Towards place query‐by‐sketch. Transactions in GIS 2020, 24, 903 -943.
AMA StyleMing Tang, Zoe Falomir, Christian Freksa, Yehua Sheng, Haiyang Lyu. Extracting invariant characteristics of sketch maps: Towards place query‐by‐sketch. Transactions in GIS. 2020; 24 (4):903-943.
Chicago/Turabian StyleMing Tang; Zoe Falomir; Christian Freksa; Yehua Sheng; Haiyang Lyu. 2020. "Extracting invariant characteristics of sketch maps: Towards place query‐by‐sketch." Transactions in GIS 24, no. 4: 903-943.
Dividing abstract object sets into multiple groups, called clustering, is essential for effective data mining. Clustering can find innate but unknown real-world knowledge that is inaccessible by any other means. Rodriguez and Laio have published a paper about a density-based fast clustering algorithm in Science called CFSFDP. CFSFDP is a highly efficient algorithm that clusters objects by using fast searching of density peaks. But with CFSFDP, the essential second step of finding clustering centers must be done manually. Furthermore, when the amount of data objects increases or a decision graph is complicated, determining clustering centers manually is difficult and time consuming, and clustering accuracy reduces sharply. To solve this problem, this paper proposes an improved clustering algorithm, ACDPC, that is based on data detection, which can automatically determinate clustering centers without manual intervention. First, the algorithm calculates the comprehensive metrics and sorts them based on the CFSFDP method. Second, the distance between the sorted objects is used to judge whether they are the correct clustering centers. Finally, the remaining objects are grouped into clusters. This algorithm can efficiently and automatically determine clustering centers without calculating additional variables. We verified ACDPC using three standard datasets and compared it with other clustering algorithms. The experimental results show that ACDPC is more efficient and robust than alternative methods.
Xiangqiang Min; Yi Huang; Yehua Sheng. Automatic Determination of Clustering Centers for “Clustering by Fast Search and Find of Density Peaks”. Mathematical Problems in Engineering 2020, 2020, 1 -11.
AMA StyleXiangqiang Min, Yi Huang, Yehua Sheng. Automatic Determination of Clustering Centers for “Clustering by Fast Search and Find of Density Peaks”. Mathematical Problems in Engineering. 2020; 2020 ():1-11.
Chicago/Turabian StyleXiangqiang Min; Yi Huang; Yehua Sheng. 2020. "Automatic Determination of Clustering Centers for “Clustering by Fast Search and Find of Density Peaks”." Mathematical Problems in Engineering 2020, no. : 1-11.
Traditional Geographic Information Systems (GIS) represent the environment under reductionist thinking, which disaggregates a geographic environment into independent geographic themes. The reductionist approach makes the spatiotemporal characteristics of geo-features explicit, but neglects the holistic nature of the environment, such as the hierarchical structure and interactions among environmental elements. To fill this gap, we integrate the concept geographic scenario with the fundamental principles of General System Theory to realize the environmental complexity in GIS. With the integration, a geographic scenario constitutes a hierarchy of spatiotemporal frameworks for organizing environmental elements and subserving the exploration of their relationships. Furthermore, we propose geo-characterization with ontological commitments to both static and dynamic properties of a geographic scenario and prescribe spatial, temporal, semantic, interactive, and causal relationships among environmental elements. We have tested the utility of the proposed representation in OWL and the associated reasoning process in Semantic Web Rule Language (SWRL) rules in a case study in Nanjing, China. The case study represents Nanjing and the Nanjing presidential palace to demonstrate the connections among environmental elements in different scenarios and the support for information queries, evolution process simulation, and semantic inferences. The proposed representation encodes geographic knowledge of the environment, makes the interactions among environmental elements explicit, supports geographic process simulation, opens opportunities for deep knowledge mining, and grounds a foundation for GeoAI to discover geographic complexity and dynamics beyond the support of conventional theme-centric inquiries in GIS.
Yi Huang; May Yuan; Yehua Sheng; Xiangqiang Min; Yuwei Cao. Using Geographic Ontologies and Geo-Characterization to Represent Geographic Scenarios. ISPRS International Journal of Geo-Information 2019, 8, 566 .
AMA StyleYi Huang, May Yuan, Yehua Sheng, Xiangqiang Min, Yuwei Cao. Using Geographic Ontologies and Geo-Characterization to Represent Geographic Scenarios. ISPRS International Journal of Geo-Information. 2019; 8 (12):566.
Chicago/Turabian StyleYi Huang; May Yuan; Yehua Sheng; Xiangqiang Min; Yuwei Cao. 2019. "Using Geographic Ontologies and Geo-Characterization to Represent Geographic Scenarios." ISPRS International Journal of Geo-Information 8, no. 12: 566.
Beijing is one of the most developed cities in China and has experienced a series of environmental problems. In accordance with the Major Function Zone planning, Beijing is divided into four zones in an attempt to coordinate development between urban areas and the eco-environment. Classic coupling model uses statistical data to evaluate the interactions of these two subsystems; however, it lacks the capability to express dynamic changes to land cover. Thus, we extracted land cover data from Landsat images and examined the urbanization and eco-environment level as well as the coupling coordination in Beijing and its functional zones. The main conclusions are as follows. (1) Between 2001 and 2011, both urbanization and the eco-environment level in Beijing and its functional zones grew steadily. Different zones coordinated together according to their own characteristics, and the overall coupling coordination of the city transformed from the “basically balanced” to the “superiorly balanced” stage of development. (2) After 2011, the condition of the eco-environment worsened in Beijing and in most of the function zones, while the coordination between increased urbanization and the worsened eco-environment may be a result of environmental lag. This study integrated land cover data into the coupling mode and fully utilized the advantages of spatiotemporal analysis and the coupling model. In other words, the spatiotemporal analysis explains the land cover changes visually over the research period, while the coupling model explores the interaction mechanisms between urbanization and the eco-environment. The land cover data enriches the coupling theory and provides a reference for evaluating the effectiveness of local development policy.
Yi Huang; Qianqian Qiu; Yehua Sheng; Xiangqiang Min; Yuwei Cao. Exploring the Relationship between Urbanization and the Eco-Environment: A Case Study of Beijing. Sustainability 2019, 11, 6298 .
AMA StyleYi Huang, Qianqian Qiu, Yehua Sheng, Xiangqiang Min, Yuwei Cao. Exploring the Relationship between Urbanization and the Eco-Environment: A Case Study of Beijing. Sustainability. 2019; 11 (22):6298.
Chicago/Turabian StyleYi Huang; Qianqian Qiu; Yehua Sheng; Xiangqiang Min; Yuwei Cao. 2019. "Exploring the Relationship between Urbanization and the Eco-Environment: A Case Study of Beijing." Sustainability 11, no. 22: 6298.
Considerable attention has been paid to geographic process-based studies in geographic information science research. Finding appropriate methods to express geographic processes is challenging, and working to reveal the dynamic evolution and underlying mechanisms behind these processes is worthwhile. This research proposes a process-centric ontology model that describes the geographical environment from three perspectives, namely, geographic scenes, geographic processes and geographic elements. These three aspects are combined to represent the dynamic changes of geographic phenomena. This research proposes a framework and constructs ten sub-ontologies. These sub-ontologies include the Element ontology, Scene ontology, and Process ontology. A soil erosion process is then selected to demonstrate the applicability of this framework. The entire process is divided into three sub-processes (detachment, transport and deposition), and each sub-process is described by identifying when and where the process occurred, the elements and their reactions, and the changes in the geographic scene. Different relationships among elements, scenes and processes are defined to explain how and why soil erosion occurred. This proposed approach can reveal the underlying mechanisms of geographic scenes, can be used to explore the occurrence and causes of geographic processes and support the complex representation of geographic elements.
Yuwei Cao; Yi Huang; Jing Chen; Yehua Sheng. Geographic Process Modeling Based on Geographic Ontology. Open Geosciences 2018, 10, 782 -796.
AMA StyleYuwei Cao, Yi Huang, Jing Chen, Yehua Sheng. Geographic Process Modeling Based on Geographic Ontology. Open Geosciences. 2018; 10 (1):782-796.
Chicago/Turabian StyleYuwei Cao; Yi Huang; Jing Chen; Yehua Sheng. 2018. "Geographic Process Modeling Based on Geographic Ontology." Open Geosciences 10, no. 1: 782-796.
The traditional multi-view vertical line locus (TMVLL) matching method is an object-space-based method that is commonly used to directly acquire spatial 3D coordinates of ground objects in photogrammetry. However, the TMVLL method can only obtain one elevation and lacks an accurate means of validating the matching results. In this paper, we propose an enhanced multi-view vertical line locus (EMVLL) matching algorithm based on positioning consistency for aerial or space images. The algorithm involves three components: confirming candidate pixels of the ground primitive in the base image, multi-view image matching based on the object space constraints for all candidate pixels, and validating the consistency of the object space coordinates with the multi-view matching result. The proposed algorithm was tested using actual aerial images and space images. Experimental results show that the EMVLL method successfully solves the problems associated with the TMVLL method, and has greater reliability, accuracy and computing efficiency.
Ka Zhang; Yehua Sheng; Meizhen Wang; Suxia Fu. An enhanced multi-view vertical line locus matching algorithm of object space ground primitives based on positioning consistency for aerial and space images. ISPRS Journal of Photogrammetry and Remote Sensing 2018, 139, 241 -254.
AMA StyleKa Zhang, Yehua Sheng, Meizhen Wang, Suxia Fu. An enhanced multi-view vertical line locus matching algorithm of object space ground primitives based on positioning consistency for aerial and space images. ISPRS Journal of Photogrammetry and Remote Sensing. 2018; 139 ():241-254.
Chicago/Turabian StyleKa Zhang; Yehua Sheng; Meizhen Wang; Suxia Fu. 2018. "An enhanced multi-view vertical line locus matching algorithm of object space ground primitives based on positioning consistency for aerial and space images." ISPRS Journal of Photogrammetry and Remote Sensing 139, no. : 241-254.
It has been two decades since virtual geographic environments (VGEs) were initially proposed. While relevant theories and technologies are evolving, data organization models have always been the foundation of VGE development, and they require further exploration. Based on the comprehensive consideration of the characteristics of VGEs, geographic scene is proposed to organize geographic information and data. We empirically find that geographic scene provides a suitable organization schema to support geo-visualization, geo-simulation, and geo-collaboration. To systematically investigate the concept and method of geographic scene, Geographic Scenario is proposed as the theory on developing geographic scene, and corresponding key issues of the Geographic Scenario are illustrated in this article. Prospects of the proposed method are discussed with the hope of informing future studies of VGEs.
Guonian Lü; Min Chen; Linwang Yuan; Liangchen Zhou; Yongning Wen; Mingguan Wu; Bin Hu; Zhaoyuan Yu; Songshan Yue; Yehua Sheng. Geographic scenario: a possible foundation for further development of virtual geographic environments. International Journal of Digital Earth 2017, 11, 356 -368.
AMA StyleGuonian Lü, Min Chen, Linwang Yuan, Liangchen Zhou, Yongning Wen, Mingguan Wu, Bin Hu, Zhaoyuan Yu, Songshan Yue, Yehua Sheng. Geographic scenario: a possible foundation for further development of virtual geographic environments. International Journal of Digital Earth. 2017; 11 (4):356-368.
Chicago/Turabian StyleGuonian Lü; Min Chen; Linwang Yuan; Liangchen Zhou; Yongning Wen; Mingguan Wu; Bin Hu; Zhaoyuan Yu; Songshan Yue; Yehua Sheng. 2017. "Geographic scenario: a possible foundation for further development of virtual geographic environments." International Journal of Digital Earth 11, no. 4: 356-368.
Jia Li; Ping Duan; Yehua Sheng; Haiyang Lv. Spatial interpolation approach based on IDW with anisotropic spatial structures. International Conference on Intelligent Earth Observing and Applications 2015, 98081O -98081O-6.
AMA StyleJia Li, Ping Duan, Yehua Sheng, Haiyang Lv. Spatial interpolation approach based on IDW with anisotropic spatial structures. International Conference on Intelligent Earth Observing and Applications. 2015; ():98081O-98081O-6.
Chicago/Turabian StyleJia Li; Ping Duan; Yehua Sheng; Haiyang Lv. 2015. "Spatial interpolation approach based on IDW with anisotropic spatial structures." International Conference on Intelligent Earth Observing and Applications , no. : 98081O-98081O-6.
Ka Zhang; Yehua Sheng; Haiyang Lv. Extraction of road traffic sign information based on a vehicle-borne mobile photogrammetric system. The Photogrammetric Record 2015, 30, 187 -210.
AMA StyleKa Zhang, Yehua Sheng, Haiyang Lv. Extraction of road traffic sign information based on a vehicle-borne mobile photogrammetric system. The Photogrammetric Record. 2015; 30 (150):187-210.
Chicago/Turabian StyleKa Zhang; Yehua Sheng; Haiyang Lv. 2015. "Extraction of road traffic sign information based on a vehicle-borne mobile photogrammetric system." The Photogrammetric Record 30, no. 150: 187-210.
Constructing a 3D model usually needs professional graphic technology and scanning equipment. This often in vast time consumption and high costing budgets. To solve the problem of high cost and complicated process, a simple, fast and low cost method is proposed. Firstly take images with 360 degree panorama of the object that is going to be modeled. Then update the image set to the database in the cloud. With the powerful cloud technology and computing power, the image set will be transformed to realistic 3D model that can be downloaded by clients. Professional modeling technique of users is no need for this method. To get a realistic 3D model all we need to do is just taking panoramic images of the object and finish few steps of simple settings.
Jia Li; Yehua Sheng; Ping Duan; Siyang Zhang; Haiyang Lv. Constructing 3D Model Based on Panoramic Images. Lecture Notes in Electrical Engineering 2014, 279, 1061 -1065.
AMA StyleJia Li, Yehua Sheng, Ping Duan, Siyang Zhang, Haiyang Lv. Constructing 3D Model Based on Panoramic Images. Lecture Notes in Electrical Engineering. 2014; 279 ():1061-1065.
Chicago/Turabian StyleJia Li; Yehua Sheng; Ping Duan; Siyang Zhang; Haiyang Lv. 2014. "Constructing 3D Model Based on Panoramic Images." Lecture Notes in Electrical Engineering 279, no. : 1061-1065.
Dongbao Zhao; Yehua Sheng; Yongqiang Wei. Shape-based Approach to Registration of Homonymous Vector Map Features. Geo-information Science 2010, 12, 56 -61.
AMA StyleDongbao Zhao, Yehua Sheng, Yongqiang Wei. Shape-based Approach to Registration of Homonymous Vector Map Features. Geo-information Science. 2010; 12 (1):56-61.
Chicago/Turabian StyleDongbao Zhao; Yehua Sheng; Yongqiang Wei. 2010. "Shape-based Approach to Registration of Homonymous Vector Map Features." Geo-information Science 12, no. 1: 56-61.
Hongjun Su; Yehua Sheng; Yongning Wen; Min Chen. VGEs-Oriented Multi-sourced Heterogeneous Data Integration. Geo-information Science 2009, 11, 292 -298.
AMA StyleHongjun Su, Yehua Sheng, Yongning Wen, Min Chen. VGEs-Oriented Multi-sourced Heterogeneous Data Integration. Geo-information Science. 2009; 11 (3):292-298.
Chicago/Turabian StyleHongjun Su; Yehua Sheng; Yongning Wen; Min Chen. 2009. "VGEs-Oriented Multi-sourced Heterogeneous Data Integration." Geo-information Science 11, no. 3: 292-298.
Min Chen; Yehua Sheng; Yongning Wen; Hongjun Su; Fei Guo. Geographic Problem-Solving Oriented Data Representation Model. Geo-information Science 2009, 11, 333 -341.
AMA StyleMin Chen, Yehua Sheng, Yongning Wen, Hongjun Su, Fei Guo. Geographic Problem-Solving Oriented Data Representation Model. Geo-information Science. 2009; 11 (3):333-341.
Chicago/Turabian StyleMin Chen; Yehua Sheng; Yongning Wen; Hongjun Su; Fei Guo. 2009. "Geographic Problem-Solving Oriented Data Representation Model." Geo-information Science 11, no. 3: 333-341.
The geographical information system (GIS) has provided the effective tools to capture, store, manage, analyze and express the spatial information. Gradually, the research region has included the dynamical mechanism and the spatialtime characteristics of the geography process, transmission mechanisms, uncertainty (multi-solutions), predictability, and so on. Corresponding, GIS modeling is one of hotspots of current GIS research. The paper is the embodiment of GIS modeling methods applied to geo-simulation research. Also it provides the model support for the management of the ground water resources. In this paper, the methods for constructing the ground-water conceptual model through 3D stratum model are discussed. Firstly, the constructing method of delaunay triangulation with constraint conditions is proposed, which is suitable to the ground-water flow simulation. Then stratum (or aquifer) multi-DEMs are completed. Based on the multi-DEMs, the Su-Xi-Chan hydrogeological conceptual model is reconstructed by irregular Tri-prism. In order to prevent dispersed irregular tri-prism voxels from disunity, the spatial index mechanism is established for groundwater model. Finally, the 3D groundwater simulation model is integrated with GIS, which can provide data for 3D numerical simulation. The results indicate that the integration of 3D GIS and geo-analysis model be convenient and can accelerate process simulation of geo-science.
Fei Guo; Yehua Sheng; Liangchen Zhou; Haixia Wang. 3D groundwater flow modeling based on GIS. International Conference on Advanced Optical Materials and Devices 2008, 7143, 1 .
AMA StyleFei Guo, Yehua Sheng, Liangchen Zhou, Haixia Wang. 3D groundwater flow modeling based on GIS. International Conference on Advanced Optical Materials and Devices. 2008; 7143 ():1.
Chicago/Turabian StyleFei Guo; Yehua Sheng; Liangchen Zhou; Haixia Wang. 2008. "3D groundwater flow modeling based on GIS." International Conference on Advanced Optical Materials and Devices 7143, no. : 1.