Zhenfeng Shao's Homepage

Zhenfeng Shao, Professor

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS)

Wuhan University

Email: shaozhenfeng@whu.edu.cn

Tel: +86 15827188114

Book

Urban Remote Sensing, Shao Zhenfeng, Wuhan University Press Academic Series, 2009.

Selected Journal Articles

2020

A Fuzzy Logic-Based Approach for Modelling Uncertainty in Open Geospatial Data on Landfill Suitability Analysis. Neema Nicodemus Lyimo, Zhenfeng Shao, Ally Mgelwa Ally, Nana Yaw Danquah Twumasi, Orhan Altan, Camilius A. Sanga. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9(12).
Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China. Zhenfeng Shao, Md. Enamul Huq, Bowen Cai, Orhan Altan, Yan Li, Environmental Modelling and Software, 2020, 134.
Identification of Potential Sites for a Multi-Purpose Dam Using a Dam Suitability Stream Model. Zhenfeng Shao, Zahid Jahangir, Qazi Muhammad Yasir, Atta-ur-Rahman, Shakeel Mahmood, Water, 2020, 12(11).
Object Detection in UAV Images via Global Density Fused Convolutional Network. Ruiqian Zhang, Zhenfeng Shao, Xiao Huang, Jiaming Wang, Deren Li, Remote Sensing, 2020, 12(19).
IHS-GTF: A Fusion Method for Optical and Synthetic Aperture Radar Data. Zhenfeng Shao, Wenfu Wu, Songjing Guo, Remote Sensing, 2020, 12(17).
Multi-Temporal Ultra Dense Memory Network for Video Super-Resolution. Peng Yi, Zhongyuan Wang, Kui Jiang, Zhenfeng Shao, Jiayi Ma. IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(8): 2503-2516.
An Accurate Matching Method for Projecting Vector Data into Surveillance Video to Monitor and Protect Cultivated Land. Zhenfeng Shao, Congmin Li, Deren Li, Orhan Altan, Lei Zhang, Lin Ding. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9(7).
Arsenic in a groundwater environment in Bangladesh: Occurrence and mobilization. Md. Enamul Huq, Shah Fahad, Zhenfeng Shao, Most Sinthia Sarven, Imtiaz Ali Khan, Mukhtar Alam, Muhammad Saeed, Hidayat Ullah, Muahmmad Adnan, Shah Saud, Qimin Cheng, Shaukat Ali, Fazli Wahid, Muhammad Zamin, Mian Ahmad Raza, Beena Saeed, Muhammad Riaz, Wasif Ullah Khan, Journal of Environmental Management, 2020, 262.
BRRNet: A Fully Convolutional Neural Network for Automatic Building Extraction From High-Resolution Remote Sensing Images. Zhenfeng Shao, Penghao Tang, Zhongyuan Wang, Nayyer Saleem, Sarath Yam, Chatpong Sommai, Remote Sensing, 2020, 12(6).
Advances of geo-spatial intelligence at LIESMARS. Deren Li, Zhenfeng Shao, Ruiqian Zhang, Geo-spatial Information Science, 2020, 23(1): 40-51.
Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network. Zhenfeng Shao,Weixun Zhou, Xueqing Deng, Maoding Zhang, Qimin Cheng, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13: 318-328.

2019

Saliency-Aware Convolution Neural Network for Ship Detection in Surveillance Video. Zhenfeng Shao, Linggang Wang, Zhongyuan Wang, Wan Du, Wenjing Wu, IEEE Transactions on Circuits and Systems for Video TechnologyDigital Object Identifier: 10.1109/TCSVT.2019.2897980.
Remote Sensing Image Super-Resolution Using Sparse Representation and Coupled Sparse Autoencoder. Zhenfeng Shao, Lei Wang, Zhongyuan Wang, Juan Deng, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Digital Object Identifier 10.1109/JSTARS.2019.2925456.
Remote sensing monitoring of multi-scale watersheds impermeability forurban hydrological evaluation. Zhenfeng Shao,Huyan Fu*, Deren Li, Orhan Altan, Tao Cheng,Remote Sensing of Environment. 2019
High arsenic contamination and presence of other trace metals in drinking water of Kushtia district, Bangladesh, Huq Md. Enamu, Fahad Shah*, Zhenfeng Shao*,Sarven Most. Sinthia Al-Huqail, Asma A., Siddiqui Manzer H., Rahman Muhammad Habib Ur,Khan Imtiaz Ali, Alam Mukhtar, Saeed Muhammad, Rauf Abdur, Basir Abdul, Jamal Yousaf, Khan Shahid Ullah JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2019,242:199-209; DOI: 10.1016/j.jenvman.2019.04.086.
Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data. Linjing Zhang, Zhenfeng Shao*, Jianchen Liu, Qimin Cheng,REMOTE SENSING. 2019,12(11):1459.
Cloud Detection in Remote Sensing Images Based on Multiscale Features-Convolutional Neural Network. Zhenfeng Shao, Yin Pan*, Chunyuan Diao, Jiajun Cai IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 6(57), 4062-4076.
Spatiotemporal Pattern Analysis of China's Cities Based on High-Resolution Imagery from 2000 to 2015. Hanchao Zhang, Xiaogang Ning, Zhenfeng Shao*, Hao Wang, ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 5(8); DOI: 10.3390/ijgi8050241.

2018

PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval, Weixun Zhou, Newsam Shawn, Congmin Li, Zhenfeng Shao*, ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 145:197-209; DOI: 10.1016/j.isprsjprs.2018.01.004.
SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection,Zhenfeng Shao. Zhenfeng Shao, Wenjing Wu*, Zhongyuan Wang, Wan Du, Chengyuan Li, IEEE Transactions on Multimedia. 2018,20(10): 2593-2604. (Dataset download)
Performance Evaluation of Single-Label and Multi-Label Remote Sensing Image Retrieval Using a Dense Labeling Dataset. Zhenfeng Shao, Ke Yang, Weixun Zhou*, Remote Sensing, 2018, 10(6), 964; doi:10.3390/rs10060964.
Remote Sensing Image Fusion With Deep Convolutional Neural Network. Zhenfeng Shao, Jiajun Cai*, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(5): 1656-1669.
Smart Monitoring Cameras Driven Intelligent Processing to Big Surveillance Video Data. Zhenfeng Shao,Jiajun Cai, Zhongyuan Wang, IEEE TRANSACTIONS ON BIG DATA, 2018, 1(4):105-116.

2017

An evaluation of monthly impervious surface dynamics by fusing Landsat and MODIS time series in the Pearl River Delta, China, from 2000 to 2015, Lei Zhang, Qihao Weng*, Zhenfeng Shao, Remote Sensing of Environment, 2017, 201: 99-114.
Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass, Zhenfeng Shao, Linjing Zhang*, Lei Wang, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 99:1-14.
The Dynamic Analysis between Urban Nighttime Economy and Urbanization Using the DMSP/OLS Nighttime Light Data in China from 1992 to 2012,Huyan Fu, Zhenfeng Shao*, Peng Fu, et al, REMOTE SENSING, 2017,9(5),416.
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval, Weixun Zhou, Newsam Shawn, Congmin Li, Zhenfeng Shao*,REMOTE SENSING,2017,9(5),489.
Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery,Zhenfeng Shao, Juan Deng*, Lei Wang, et al, REMOTE SENSING, 2017,9(4),311.

2016

Mapping Urban Impervious Surface by Fusing Optical and SAR Data at the Decision Level, Zhenfeng Shao, Huyan Fu*,Peng Fu, Li Yin, Remote Sensing, 2016, 8(11):945.
Estimating Forest Aboveground Biomass by Combining Optical and SAR Data: A Case Study in Genhe, Inner Mongolia, China, Zhenfeng Shao, Linjing Zhang*. Sensors. 2016, 16, 834; doi:10.3390/s16060834.
A Comprehensive Evaluation of Urban Sustainable Development in China Based on the TOPSIS-Entropy Method, Lin Ding, Zhenfeng Shao*, Hanchao Zhang, Cong Xu and Dewen Wu, Sustainability, 2016, 8, 746; doi:10.3390/su8080746.
A Multi-View Dense Point Cloud Generation Algorithm Based on Low-Altitude Remote Sensing Images, Zhenfeng Shao, Nan Yang*, Xiongwu Xiao, Lei Zhang, Zhe Peng, Remote Sensing, 2016, 8(5).
Heteroskedasticity tuned mixed-norm sparse regularization for face hallucination, Zhongyuan Wang, Ruimin Hu, Junjun Jiang, Zhen Han,Zhenfeng Shao,MULTIMEDIA TOOLS AND APPLICATIONS, 2016, 24(75): 17273-17301.

2015

High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder, Weixun Zhou, Zhenfeng Shao*, Chunyuan Diao; Qimin Cheng. Remote Sensing Letters, 2015, 6(10): 775-783.
Synergistic retrieval model of forest biomass using the integration of optical and microwave remote sensing, Linjing Zhang, Zhenfeng Shao*,Chunyuan Diao. Journal of Applied Remote Sensing, 2015,9:096069.
A multi-scale method for urban tree canopy clustering recognition using high-resolution image, Jian-Nong Cao, Zhenfeng Shao*, Jia Guo,Yuwei Dong, Pinglu Wang, Optik, 2015: 1269-1276.
Development of a multi-scale object-based shadow detection method for high spatial resolution image, Hui Luo, Le Wang*, Zhenfeng Shao and Deren Li. Remote Sensing Letters, 2015.
Feature matching for illumination variation images, Zhenfeng Shao, Min Chen*, Chong Liu, Journal of Electronic Imaging, 2015, 24(3), 033011-1~11.
An effective hyperspectral image retrieval method using integrated spectral and textural features, Zhenfeng Shao, Weixun Zhou*, Qimin Cheng, Chunyuan Diao, Lei Zhang, Sensor Review, 2015, 35(3).
Applying spectral mixture analysis for large-scale sub-pixel impervious cover estimation based on neighbourhood-specific endmember signature generation, Zhang Zhang, Chong Liu*, Jiancheng Luo, Zhanfeng Shen and Zhenfeng Shao*, Remote Sensing Letters, 2015, 6(1), 1-10.
��Big data�� for pedestrian volume: Exploring the use of Google Street View images for pedestrian counts, Li Yin*, Qimin Cheng, Zhenxin Wang, Zhenfeng Shao. APPLIED GEOGRAPHY, 2015, 63,337-345.
A multi-scale method for urban tree canopy clustering recognition using high-resolution image, Jannong Cao, Zhenfeng Shao*, Jia Guo, Bei Wang, Yuwei Dong, Pinglu Wang. OPTIK, 2015, 13(126):1269-1276.

2014

Sparse dimensionality reduction of hyperspectral image based on semi-supervised local Fisher discriminant analysis, Zhenfeng Shao, Lei Zhang*. International Journal of Applied Earth Observation and Geoinformation, 2014, 31: 122-129.
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 Delt, Zhenfeng Shao, Liu Chong*, Remote Sensing, 2014, 6(10), 9359-9378.
Improved color texture descriptors for remote sensing image retrieval, Zhenfeng Shao, Weixun Zhou*, Lei Zhang, Journal of Applied Remote Sensing, 2014, 8(1): 083584-083584.
A Novel Hierarchical Semisupervised SVM for Classification of Hyperspectral Images, Zhenfeng Shao, Lei Zhang*, Xiran Zhou, Lin Ding. IEEE Geoscience and Remote Sensing Letters, 2014, 11(9): 1609 - 1613.
BASI: An Index to Extract Built-Up Areas from High-Resolution Remote Sensing Images by Visual Saliency Model, Zhenfeng Shao, Yingjie Tian*, Xiaole Shen. Remote Sensing letters, 2014,Vol. 5, No. 4, 305-314.
Illumination and Contrast Balancing for Remote Sensing Images, Jun Liu, Xing Wang, Min Chen, Shuguang Liu, Zhenfeng Shao*, Xiran Zhou, Ping Liu. Remote sensing, 2014, 6, 1102-1123.
Semantic graph construction for 3D geospatial data of multi-versions, Xiran Zhou, Zhenfeng Shao*, Wei Zeng, Jun Liu. Optik, 125(6), 1730-1734, 2014.
Thin cloud removal from single satellite images, Jun Liu, Xing Wang, Min Chen, Shuguang Liu, Xiran Zhou, Zhenfeng Shao*, Ping Liu, Optics Express, 22(1):618-632, 2014.
A Novel Remote Sensing Image Retrieval Method Based on Visual Salient Point Features, Xing Wang, Zhenfeng Shao*, Xiran Zhou, Jun Liu, Sensor Review, 2014, 34(4): 349-359.
Parameter estimation in sparse representation based face hallucination, Zhongyuan Wang*, Ruimin Hu, Zhenfeng Shao, Zhiqiang Hou. DIGITAL SIGNAL PROCESSING, 2014, 31:28-34.

2013

Robust Affine-Invariant Line Matching for High Resolution Remote Sensing Images, Min Chen, Zhenfeng Shao*. Photogrammetric Engineering Remote Sensing, 2013, 79(8):753-760.
Invariant matching method for different viewpoint angle images, Min Chen, Zhenfeng Shao*, Dongyang Li, Jun Liu. Applied Optics, 2013, 52(1): 96-104.
Scale and Rotation Robust Line-based Matching for High Resolution Images.Min Chen, Zhenfeng Shao*. OPTIK-International Journal for Light and Electron Optics. 2013, 124:5318-5322.
MNDISI: a multi-source composition index for impervious surface area estimation at the individual city scale, Chong Liu, Zhenfeng Shao*. Remote Sensing Letters, 2013, 4(8):803-812.

2012

Fusion of infrared and visible images based on focus measure operators in Curvelet domain, Zhenfeng Shao*, Jun Liu, Qimin Cheng. Applied Optics, 2012, 51(12): 1910-1921.

2011

Color constancy enhancement under poor illumination, Jun Liu, Zhenfeng Shao*, Qimin Cheng, Optics Letters, 2011, 36(24):4821-4823.
Using No-Parameter Statistic Features for Texture Image Retrieval, Xianqiang Zhu, Zhenfeng Shao*,Sensor Review, 2011, 31(2):144-153.

Participate in the preparation of industry standards

National standard "Data product of real scene map" GB/T 35628-2017;
National Standard "Spatiotemporal infrastructure for smart city-Evaluation indicator system" GB/T 35775-2017;
National Standard "Spatiotemporal infrastructure for smart city-Basic specifications" GB/T 35776-2017;
Surveying and mapping industry standard "Technology specifications for vehicle-borne mobile mapping" CHT 6004-2016;
Surveying and mapping industry standard "Data specifications for vehicle-borne mobile mapping" CHT 6003-2016.

Last modified in Aug 2019