Work Experience
From 2014.01 to Present, Associate Professor at the School of Environment Science and Spatial Informatics in China University of Mining and Technology;
From 2004.07 to 2013.12, Lecturer at the School of Environment Science and Spatial Informatics in China University of Mining and Technology;
Publications (2011~2021)
2021
[1] Hua Zhang, Yue Sun, Wenzhong Shi, Dizhou Guo & Nanshan Zheng. An object-based spatiotemporal fusion model for remote sensing images [J]. European Journal of Remote Sensing, 2021, 54(1): 86-101. (SCI)
[2] Zhenxuan Li, Wenzhong Shi*, Yongchao Zhu, Hua Zhang, Ming Hao and Liping Cai. Subpixel Change Detection Based on Radial Basis Function with Abundance Image Difference Measure for Remote Sensing Images [J]. Remote Sensing, 2021, 13: 868. (SCI)
2019
[1] Yue Sun, Hua Zhang*. A Two-Stage Spatiotemporal Fusion Method for Remote Sensing Images. Photogrammetric Engineering & Remote Sensing, 86 (12), 907-914 (SCI);
[2] Yue Sun, Hua Zhang* and Wenzhong Shi. A spatio-temporal fusion method for remote sensing data Using a linear injection model and local neighbourhood information. International Journal of Remote Sensing, 2019, 40(8): 2965-2985. (SCI);
[3] Ming Hao*, Min Tan and Hua Zhang. A change detection framework by fusing threshold and clustering methods for optical medium resolution remote sensing images. European Journal of Remote Sensing, 2019, 52(1): 96-106. (SCI);
2018
[1] Hua Zhang, Lorenzo Bruzzone, Wenzhong Shi*, Ming Hao, and Yunjia Wang. Enhanced Spatially Constrained Remotely Sensed Imagery Classification Using a Fuzzy Local Double Neighborhood Information C-Means Clustering Algorithm. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2018, 11(8): 2896-2910. (SCI);
[2] Hua Zhang, Wenzhong Shi*, Ming Hao, Zhenxuan Li and Yunjia Wang. An adaptive spatially constrained fuzzy c-means algorithm for multispectral remotely sensed imagery clustering. International Journal of Remote Sensing, 2018, 39(8), 2207-2237. (SCI);
[3] Pengfei He, Wenzhong Shi* and Hua Zhang. Adaptive superpixel based Markov random field model for unsupervised change detection using remotely sensed images. Remote Sensing Letters, 2018, 9(8): 724-732. (SCI);
2017
[1] Hua Zhang, Qunming Wang*, Wenzhong Shi, and Ming Hao. A Novel Adaptive Fuzzy Local Information C-Means Clustering Algorithm for Remotely Sensed Imagery Classification. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(9): 5057-5067. (SCI)；
[2] Ming Hao, Zhang Hua*, Zhenxuan Li, and Bing qian Chen. Unsupervised change detection using a novel fuzzy c-means clustering simultaneously incorporating local and global information. Multimedia Tools and Applications, 2017, 76(19): 20081-20098 (SCI);
[3] Zhenxuan Li, Wenzhong Shi*, Hua Zhang, and Ming Hao. Change Detection Based on Gabor Wavelet Features for Very High Resolution Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, 2017, 14(5), 783-787. (SCI)
2016
[1] Liping Cai, Wenzhong Shi*, Hua Zhang and Ming Hao. Object-oriented change detection method based on adaptive multi-method combination for remote-sensing images, International Journal of Remote Sensing, 2016, 37(22): 5457-5471. (SCI)
[2] Ming Hao, Wenzhong Shi*, Hua Zhang, Qunming Wang, Kazhong Deng. A Scale-Driven Change Detection Method Incorporating Uncertainty Analysis for Remote Sensing Images, remote sensing, 2016, 8(9), 745. (SCI)
[3] Ming Hao, Wenzhong Shi*, Kazhong Deng, Hua Zhang and Pengfei He. An Object-Based Change Detection Approach Using Uncertainty Analysis for VHR Images, Journal of Sensors, 2016. (SCI)
2015
[1] Pengfei He, Wenzhong Shi*, Zelang Miao, Hua Zhang and Liping Cai. Advanced Markov random field model based on local uncertainty for unsupervised change detection, Remote Sensing Letters, 2015, 6(9): 667-676. (SCI)
[2] Liping Cai, Wenzhong Shi*, Pengfei He, Zelang Miao, Ming Hao and Hua Zhang. Fusion of multiple features to produce a segmentation algorithm for remote sensing images, Remote Sensing Letters, 2015, 6(5): 390-398. (SCI)
[3] Ming Hao, Wenzhong Shi*, Kazhong Deng, and Hua Zhang (2015), Fusion-based approach to change detection to reduce the effect of the trade-off parameter in the active contour model, Remote Sensing Letters, 2015, 6(1): 39-48. (SCI)
2014
[1] Hua Zhang, Wenzhong Shi*, Yunjia Wang, Ming Hao, and Zelang Miao (2014), Spatial-Attraction-Based Markov Random Field Approach for Classification of High Spatial Resolution Multispectral Imagery, IEEE Geoscience and Remote Sensing Letters, 2014, 11(2): 489-493. (SCI)
[2] Hua Zhang, Wenzhong Shi, Yunjia Wang, Ming Hao, and Zelang Miao, Classification of Very High Spatial Resolution Imagery Based on a New Pixel Shape Feature Set, IEEE Geoscience and Remote Sensing Letters, 2014, 11(5): 940-944. (SCI)
[3] Nanshan Zheng, Hua Zhang*, Jingjing Fan and Hongjie Guan, A fuzzy local neighbourhood-attraction based information c-means clustering algorithm for very high spatial resolution imagery classification, Remote Sensing Letters, 2014, 5(9): 843–852, (SCI)
[4] Ming Hao, Wenzhong Shi*, Hua Zhang and Chang Li, Unsupervised change detection with Expectation-Maximization-based level set, IEEE Geoscience and Remote Sensing Letters, 2014, 11(1): 210-214. (SCI)
[5] Yongbo Wang, Yunjia Wang, Kan Wu, Hua chaoYang, Hua Zhang, A dualquaternion-based, closed-form pairwise registration algorithm for point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 94: 63–69. (SCI)
[6] Quming. Wang, Wenzhong. Shi* and Hua Zhang, Class allocation for soft-then-hard subpixel mapping algorithms with adaptive visiting order of classes. IEEE Geoscience and Remote Sensing Letters, 2014, 11(9): 1494–1498. (SCI)
[7] Ming Hao, Wenzhong Shi*, Kazhong Deng, and Hua Zhang, A contrast-sensitive Potts model custom-designed for change detection, European Journal of Remote Sensing, 2014, 47: 643-654. (SCI)
[8] Pengfei He, Wenzhong Shi*, Hua Zhang and Ming Hao. (2014). A novel dynamic threshold method for unsupervised change detection from remotely sensed images, Remote Sensing Letters, 2014, 5(4): 396-403. (SCI)
[9] Zelang Miao, Wenzhong Shi*, Hua Zhang, A Semi-Automatic Method for Road Centerline Extraction From VHR Images, IEEE Geoscience and Remote Sensing Letters, 2014, 11(11): 1856-1860. (SCI)
[10] Wenzhong Shi, Zelang Miao*, Qunming Wang and Hua Zhang, Spectral–Spatial Classification and Shape Features for Urban Road Centerline Extraction, IEEE Geoscience and Remote Sensing Letters, 2014, 11(4): 788-792. (SCI)
2013
[1] Zelang Miao, Wenzhong Shi*, Hua Zhang and Xinxin Wang, Road Centerline Extraction from High-Resolution Imagery Based on Shape Features and Multivariate Adaptive Regression Splines, IEEE Geoscience and Remote Sensing Letters, 2013, 10(3): 583-587. (SCI)
[2] Ming Hao, Wenzhong Shi*, and Hua Zhang, Unsupervised change detection using fuzzy c-means and MRF from remotely sensed images. Remote Sensing Letters, 2013, 4(12): 1185-1194. (SCI)
2012
[1] Hua Zhang, Wenzhong Shi*, and Kim Liu. Fuzzy-topology-integrated Support Vector Machine for remotely sensed image classification. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(3): 850-862. (SCI)
2011
[1] Kimfung Liu, Wenzhong Shi* and Hua Zhang, A fuzzy topology-based maximum likelihood classification, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 66, 103–114(SCI)
[2] Kimfung Liu, Wenzhong Shi* and Hua Zhang, A study of supervised classification accuracy in fuzzy topological methods, International Journal of Applied Earth Observation and Geoinformation, 2011, 13(1): 89–99 (SCI)
Research Projects (2012-2020)
[1] Fine-scale Urban Impervious Surface Extraction based on Oblique Photography, general project of National Natural Science Foundation of China, 2020.01-2023.12, Grant No. 41971400; (PI)
[2] Sub-pixel mapping based on fuzzy topology and multi-feature fusion from remotely sensed data, general project of National Natural Science Foundation of China, 2013.01-2015.12, Grant No. 41201451; (PI)
[3] Reliable classification and spatial association analysis, National Natural Science Foundation of China (Key Program), 2014.01-2018.12, Grant No. 41331175; (PI)
Supervised Graduates
2019
[1] Yue Sun, Master Dissertation: Study on the Spatio-temporal Fusion Algorithms-Taking Landsat and MODIS Data as Examples, 2020;
2018
[1] Guoqing Yang, Master Dissertation: Semi-supervised Classification for Remote Sensing Image Using Neighborhood Information, 2018;
2017
[1] Yanqiu Meng, Master Dissertation: Study on Spatiotemporal Expansion and Thermal Environment of Impervious Surface in Xuzhou City, 2017;
2016
[1] Jingjing Fan, Master Dissertation: Study on Trees and Buildings Detection in Urban Area based on Airborne LiDAR Data Point Cloud Data, 2016.
On-Study Graduate Students
2020
Xiangchen Zheng, Master Candidate
Zhenwei Duan, Master Candidate
Lei Liu, Master Candidate
Jingwen Yang, Master Candidate
2019
Jianbo Zou, Master Candidate
Yingtin Wang, Master Candidate
Hao Gao, Master Candidate
2018
Kai Ren, Master Candidate
Yasong Zhao, Master Candidate
