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

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.

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).

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. Journal of Electronic Imaging, 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.

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.

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 Jan 2019