BSc (Wuhan Technical University of Surveying and Mapping)
MSc (Wuhan Technical University of Surveying and Mapping)
PhD (Wuhan University)
Address: 129Luoyu Road.
Tel: +86-27-68779859， +86-15827188114
Email: shaozhenfeng@whu.edu.cn
Personal website: http://www.lmars.whu.edu.cn/prof_web/shaozhenfeng/index.html#
Fields of interest
Key technologies and applications of Smart City; High-resolution remote sensing image processing and analysis;
Resume
Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS). Prof. Shao was the receipt of the Young-Aged Leading Scientists, Engineers and Innovators Award, Ministry of Science and Technology, China, and was honored as one of the “outstanding science and technology workers” by China Association for Science and Technology in 2016. He was the Luojia Distinguished Professor of Wuhan University. Dr. Shao’s research has been funded by the Science and Technology Commission of Wuhan Municipality “Chenguang Jihua” and Natural Science Foundation of Outstanding Scholarship of Hubei Province. In 2012, Prof. Shao was supported by the Program for New Century Excellent Talents in University, the Ministry of Education, China, and was the awardee of the Young Scholar in Wuhan University. Dr. Shao was a senior visiting professor of University of California Merced (08/2017-09/2017) and Indiana State University (12/2016-01/2017) as well as a visiting professor of State University of New York at Buffalo (08/2013-08/2014). His research focuses on high-resolution image analysis and “smart city” techniques and applications. Prof. Shao has authored/co-authored more than 100 scientific manuscripts, including 35 SCI-indexed and 109 EI-indexed papers, and a monograph on Urban Remote Sensing. In addition, Dr. Shao is the owner of 20 national patents and 11 software copyrights.
Research projects
Plan on strategic international scientific and technological innovation cooperation special project（2016YFE0202300). Fundamental Research Funds for the Central Universities (2042016kf0179 and 2042016kf1019), Wuhan Chen Guang Project (2016070204010114), Guangzhou science and technology project (201604020070); National Administration of Surveying,Mapping and Geoinformation (2015NGCM), Special task of technical innovation in Hubei Province (2016AAA018), and the Natural Science Foundation of China (61671332, 41771452 and 41771454 ).
Selected publications
(1) Zhenfeng Shao, Linjing Zhang, and Lei Wang. Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-ground Biomass. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2017，DOI: 10.1109/JSTARS.2017.2748341.（SCI）
(2) Weixun Zhou, Shawn Newsam, Congmin Li and Zhenfeng Shao. Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval. Remote Sens. 2017, 9, 489; doi:10.3390/rs9050489.（SCI）
(3) Huyan Fu, Zhenfeng Shao, Peng Fu and Qimin Cheng. The Dynamic Analysis between Urban Nighttime Economy and Urbanization Using the DMSP/OLS Nighttime Light Data in China from 1992 to 2012. Remote Sens. 2017, 9, 416; doi:10.3390/rs9050416.（SCI）
(4) Zhenfeng Shao, Juan Deng, Lei Wang, Yewen Fan, Neema S. Sumari and Qimin Cheng. Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery. Remote Sens. 2017, 9, 311; doi:10.3390/rs9040311.（SCI）
(5)Zhenfeng Shao, Jiajun Cai, and Zhongyuan Wang. Smart Monitoring Cameras Driven Intelligent Processing to Big Surveillance Video Data. IEEE TRANSACTIONS ON BIG DATA, 2017，VOL. 3.
(6) Zhenfeng Shao, Huyan Fu,Peng Fu, Li Yin. Mapping Urban Impervious Surface by Fusing Optical and SAR Data at the Decision Level. Remote Sensing, 2016, 8(11):945.（SCI）
(7) Zhenfeng Shao, Linjing Zhang. Estimating Forest Aboveground Biomass by Combining Optical and SAR Data: A Case Study in Genhe, Inner Mongolia, China. Sensors. 2016, 16, 834; doi:10.3390/s16060834.（SCI）
(8) Lin Ding,Zhenfeng Shao, Hanchao Zhang, Cong Xu and Dewen Wu. A Comprehensive Evaluation of Urban Sustainable Development in China Based on the TOPSIS-Entropy Method. Sustainability 2016, 8, 746; doi:10.3390/su8080746.（SCI）
(9) Zhenfeng Shao,Nan Yang,Xiongwu Xiao,Lei Zhang,Zhe Peng.A Multi-View Dense Point Cloud Generation Algorithm Based on Low-Altitude Remote Sensing Images. Remote Sensing ,2016, 8(5). （SCI）
(10) Zhenfeng Shao,Min Chen, Chong Liu.Feature matching for illumination variation images. Journal of Electronic Imaging. Journal of Electronic Imaging ,2015, 24(3), 033011-1~11. （SCI）
(11) Zhenfeng Shao, Weixun Zhou, Qimin Cheng, Chunyuan Diao & Lei Zhang.An effective hyperspectral image retrieval method using integrated spectral and textural features. Sensor Review,2015,35(3). （SCI）
(12) Zhenfeng Shao, Lei Zhang. Sparse dimensionality reduction of hyperspectral image based on semi-supervised local Fisher discriminant analysis. International Journal of Applied Earth Observation and Geoinformation，2014, 31: 122-129. （SCI）
(13) Shao Zhenfeng, Liu Chong. The Integrated Use of DMSP-OLS Nighttime Light and MODIS Data for Monitoring Large-Scale Impervious Surface Dynamics: A Case Study in the Yangtze River Delta. Remote Sensing ，2014, 6(10), 9359-9378. （SCI）
(14) Zhenfeng Shao,Weixun Zhou,Lei Zhang. Improved color texture descriptors for remote sensing image retrieval. Journal of Applied Remote Sensing，2014, 8(1): 083584-083584. （SCI）
(15) Zhenfeng Shao, Lei Zhang, Xiran Zhou, Lin Ding. A Novel Hierarchical Semisupervised SVM for Classification of Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters，2014, 11(9): 1609 – 1613. （SCI）
(16) Zhenfeng Shao, Yingjie Tian, Xiaole Shen. BASI: An Index to Extract Built-Up Areas from High-Resolution Remote Sensing Images by Visual Saliency Model. Remote Sensing letters. 2014,Vol. 5, No. 4, 305–314. （SCI）
(17) Weixun Zhou, Zhenfeng Shao, Chunyuan Diao & Qimin Cheng. High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder. Remote Sensing Letters, 2015, 6(10): 775-783. （SCI）
(18) Linjing Zhang,Zhenfeng Shao,Chunyuan Diao.Synergistic retrieval model of forest biomass using the integration of optical and microwave remote sensing. Journal of Applied Remote Sensing, 2015,9:096069.(SCI)
(19) Jian-Nong Cao, Zhenfeng Shao, Jia Guo,Yuwei Dong,Pinglu Wang,A multi-scale method for urban tree canopy clustering recognition using high-resolution image. Optik .Optik126(2015)1269-1276.(SCI)
(20) Hui Luo, Le Wang, Zhenfeng Shao and Deren Li.Development of a multi-scale object-based shadow detection method for high spatial resolution image, Remote Sensing Letters, 2015, 6:1, 59-68 (SCI)
(21)Zhang Zhang, Chong Liu, Jiancheng Luo, Zhanfeng Shen and Zhenfeng Shao.Applying spectral mixture analysis for large-scale sub-pixel impervious cover estimation based on neighbourhood-specific endmember signature generation, Remote Sensing Letters,2015,6(1),1-10. （SCI）
(22) Zhongyuan Wang1(&), Jing Xiao1, Tao Lu2, Zhenfeng Shao, and Ruimin Hu1. Tuning Sparsity for Face Hallucination Representation, Springer International Publishing Switzerland 2015, PCM 2015, Part I, LNCS 9314, pp. 299–309, 2015. （SCI）
(23) Deren Li, Yuan Yao, Zhenfeng Shao, Le Wang. From digital Earth to smart Earth. Chinese Science Bulletin, 2014, (DOI) 10.1007/s11434-013-0100-x. （SCI）
(24) Jun Liu, Xing Wang, Min Chen, Shuguang Liu, Zhenfeng Shao, Xiran Zhou and Ping Liu. Illumination and Contrast Balancing for Remote Sensing Images. remote sensing. 2014, 6, 1102-1123. （SCI）
(25) Xiran Zhou，Zhenfeng Shao，Wei Zeng，Jun Liu. Semantic graph construction for 3D geospatial data of multi-versions，Optik，125(6), 1730-1734，2014. （SCI）
(26) Jun Liu，Xing Wang，Min Chen，Shuguang Liu，Xiran Zhou，Zhenfeng Shao，Ping Liu，Thin cloud removal from single satellite images，Optics Express，22（1）：618-632，2014（SCI）
(27) Xing Wang，Zhenfeng Shao，Xiran Zhou，Jun Liu，A Novel Remote Sensing Image Retrieval Method Based on Visual Salient Point Features，Sensor Review,2014,2014, 34(4): 349-359. （SCI）
(28) Zhongyuan Wang, Ruimin Hu, Zhenfeng Shao, Zhiqiang Hou. Parameter estimation in sparse representation based face hallucination. Digital signal processing, 2014,28-34. （SCI）
(29) Min Chen, Zhenfeng Shao. Robust Affine-Invariant Line Matching for High Resolution Remote Sensing Images, Photogrammetric Engineering Remote Sensing ,2013,79(8):753-760. （SCI）
(30) Chen Min, Shao Zhenfeng, Li Dongyang, Liu Jun. Invariant matching method for different viewpoint angle images, Applied Optics, 2013, 52(1): 96-104. (SCI)