Prof. Dr. Shuzhen Fan

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Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 December 2021 in Journal of Marine Science and Engineering

Journal Article

A Review of Methods for Ship Detection with Electro-Optical Images in Marine Environments

The ocean connects all continents and is an important space for human activities. Ship detection with electro-optical images has shown great potential due to the abundant imaging spectrum and, hence, strongly supports human activities in the ocean. A suitable imaging spectrum can obtain effective images in complex marine environments, which is the premise of ship detection. This paper provides an overview of ship detection methods with electro-optical images in marine environments. Ship detection methods with sea–sky backgrounds include traditional and deep learning methods. Traditional ship detection methods comprise the following steps: preprocessing, sea–sky line (SSL) detection, region of interest (ROI) extraction, and identification. The use of deep learning is promising in ship detection; however, it requires a large amount of labeled data to build a robust model, and its targeted optimization for ship detection in marine environments is not sufficient.

26 February 2014 in Optics Letters

Journal Article

10 aJ-level sensing of nanosecond pulse below 10 THz by frequency upconversion detection via DAST crystal: more than a 4 K bolometer

Koji Nawata

By using frequency upconversion detection of terahertz (THz) waves via 4-dimethylamino-N-methyl-4-stilbazolium tosylate (DAST) crystal with an optimized frequency conversion process, ultrahigh sensitivity has been achieved. Direct comparisons with a 4 K bolometer were implemented. By using a simple positive intrinsic negative (PIN) diode without either electrical amplification or optical amplification, frequency upconversion detection can compete with the commercial 4 K bolometer, while by replacing the PIN diode with an avalanche photo diode (APD), it performs more than three orders better than the 4 K bolometer. Based on power calibration, the minimum detectable THz pulse energy is in the order of 10 aJ (9–25 aJ) at 4.3 THz, with a pulse duration of 6 ns. Thus, the minimum number of THz photons that can be detected is down to the order of

10^{3}

at room temperature. The current THz detection system gives a noise equivalent power (NEP) in the order of

100 fW / {Hz}^{1 / 2}

(

50 - 128 fW / {Hz}^{1 / 2}

). Moreover, by switching current optical detectors, the dynamic range is over six orders.

1 December 2021 in Journal of Rare Earths

Journal Article

Nd-doped structurally disordered YSr3(PO4)3 single crystal: Growth and laser performances

Guangda Wu

Xiaoqin Yin

Mengdi Fan

Fapeng Yu

Shuzhen Fan

Xian Zhao

1 November 2023 in Optics Express

Journal Article

Highly sensitive frequency upconversion detection from 1 to 3 THz with OH1 crystal

Quanxin Guo

Shuzhen Fan

Xiaoqin Yin

Binzhe Jiao

Jiefeng Mu

Xingyu Zhang

The wide applications of terahertz (THz) wave technology in the ∼1–3 THz range has resulted in a surge in the demand for the performance improvement of THz wave detection technique. In this study, a frequency tunable, highly sensitive frequency upconversion detection based on a 2-(3-(4-hydroxystyryl)-5,5-dime-thylcyclohex-2-enylidene) malononitrile (OH1) crystal at room temperature is demonstrated. Moreover, to effectively increase the signal-to-noise ratio in the low frequency range, a beam isolation enhancer is proposed and its effect is verified. The minimum detectable THz pulse energy reaches about 100 aJ at 1.9 THz. The frequency tuning ranging from 1 to 3 THz. Sensitivity comparison with a 4-dimethylamino-N-methyl-4-stilbazolium tosylate (DAST) crystal system shows that OH1 is a more suitable nonlinear crystal in the 1–2.4 THz range.

10 October 2008 in Optics Express

Journal Article

Coexistent optical parametric oscillation and stimulated Raman scattering in KTiOAsO_4

Coexistent optical parametric oscillation (OPO) and stimulated Raman scattering (SRS) are demonstrated in an X-cut KTiOAsO₄ (KTA) crystal. The 30-mm-long KTA crystal is placed within a diode-end-pumped acousto-optically (AO) Q-switched Nd:YAG laser cavity to construct an intracavity optical parametric oscillator. Coexistent Raman conversion of the fundamental wave is observed from the KTA crystal. With a diode power of 7.43 W and a pulse repetition rate (PRR) of 20 kHz, a signal (1535.0 nm) power of 0.92 W is obtained, corresponding to a diode-to-signal conversion efficiency of 12.4%. A first-Stokes (1091.4 nm) power of 0.17 W is obtained.

9 April 2025 in Scientific Data

Journal Article

Tri-band vehicle and vessel dataset for artificial intelligence research

Yingjian Liu

Gangnian Zhao

Shuzhen Fan

Cheng Fei

Junliang Liu

Zhaojun Liu

The advancement of artificial intelligence has spurred progress across diverse scientific fields, with deep learning techniques enhancing autonomous driving and vessel detection applications. The training of deep learning models relies on the construction of datasets. We present a tri-band (visible, short-wave infrared, long-wave infrared) vehicle and vessel dataset for object detection applications and multi-band image fusion. The dataset consists of thousands of images with JPG and PNG formats, and information including acquisition dates, locations, among others. The features of the dataset are time synchronization and field-of-view consistency. About 60% of the dataset has been manually labeled with object instances to train and evaluate well-established object detection algorithms. After training with YOLOv8 and SSD object detection algorithms, all models have mAP values above 0.6 at an IoU threshold of 0.5, which indicates good recognition performance for this dataset. In addition, a preliminary validation of wavelet-based multi-band image fusion was performed. As far as we know, the dataset is the first publicly available tri-band optical image dataset.

About Me

范书振是山东大学光学高等研究中心（CORE）副教授。2009年毕业于山东大学信息科学与工程学院光学工程专业.。他于 2003 年至 2009 年在该学院攻读并获得博士学位。从 2009 年到 2012 年，他留在学校担任工程师。2012 年 2 月至 2013 年 3 月，在日本名古屋大学 EcoTopia 研究所担任博士后研究员。2013 年 4 月至 2014 年 8 月在 RIKEN 仙台地区担任博士后研究员。2014 年 9 月起至 2015 年 11 月，他在江苏省先进激光技术和新兴产业协同创新中心担任特聘研究员。2015 年 12 月，他加入了山东大学光学高等研究中心（CORE）。他主要研究基于光学非线性频率变换的太赫兹波探测和成像相关技术，研究领域包括非线性光学、光电子学、和激光技术。他还致力于近红外成像应用技术。他曾经从事固体激光技术的研究，包括特殊参数激光器和新波长激光器的开发。 Fan Shuzhen is an associate professor at the Center for Optics Research and Engineering (CORE), Shandong University. He graduated from the School of Information Science and Engineering at Shandong University in 2009, majoring in Optical Engineering. 2009 to 2012, he worked at the school as an Engineer. February 2012 to March 2013, he served as a postdoctoral researcher at the EcoTopia Institute, Nagoya University, Japan. April 2013 to August 2014, he worked as a postdoctoral researcher at RIKEN Sendai. September 2014 to November 2015, he worked as a researcher at the Jiangsu Advanced Laser Technology and Emerging Industries Collaborative Innovation Center. December 2015, he joined the Center for Optics Research and Engineering (CORE) at Shandong University. His primary research focuses on terahertz wave detection and imaging technologies based on optical nonlinear frequency up-conversion, encompassing nonlinear optics, optoelectronics, and laser technology. He is also dedicated to near-infrared imaging application technologies, laser physics and technologies.

Prof. Dr. Shuzhen Fan

Prof. Dr. Shuzhen Fan

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