Change detection method for remote sensing images based on an improved Markov random field W Gu, Z Lv, M Hao
Multimedia Tools and Applications 76, 17719-17734, 2017
181 2017 Robust optical-to-SAR image matching based on shape properties Y Ye, L Shen, M Hao, J Wang, Z Xu
IEEE Geoscience and Remote Sensing Letters 14 (4), 564-568, 2017
148 2017 Unsupervised change detection with Expectation-Maximization-based level set M Hao, W Shi, H Zhang, C Li
IEEE Geoscience and Remote Sensing Letters 11 (1), 2014
103 2014 FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details D Guo, W Shi, M Hao, X Zhu
Remote Sensing of Environment 248, 111973, 2020
90 2020 A Novel Adaptive Fuzzy Local Information H Zhang, Q Wang, W Shi, M Hao
IEEE Transactions on geoscience and remote sensing 55 (9), 5057-5068, 2017
89 2017 Novel Approach to Unsupervised Change Detection Based on a Robust Semi-Supervised FCM Clustering Algorithm P Shao, W Shi, P He, M Hao, X Zhang
Remote Sensing, 2016
83 2016 Change detection based on Gabor wavelet features for very high resolution remote sensing images Z Li, W Shi, H Zhang, M Hao
IEEE Geoscience and Remote Sensing Letters 14 (5), 783-787, 2017
81 2017 Unsupervised change detection using fuzzy c-means and MRF from remotely sensed images M Hao, H Zhang, W Shi, K Deng
Remote Sensing Letters 4 (12), 2013
71 2013 Large-scale deformation monitoring in mining area by D-InSAR and 3D laser scanning technology integration B Chen, K Deng, H Fan, M Hao
International Journal of Mining Science and Technology 23 (4), 555-561, 2013
66 2013 Accuracy assessment measures for object extraction from remote sensing images L Cai, W Shi, Z Miao, M Hao
Remote Sensing 10 (2), 303, 2018
65 2018 A novel dynamic threshold method for unsupervised change detection from remotely sensed images P He, W Shi, H Zhang, M Hao
Remote Sensing Letters 5 (4), 2014
33 2014 An advanced superpixel-based Markov random field model for unsupervised change detection M Hao, M Zhou, J Jin, W Shi
IEEE Geoscience and Remote Sensing Letters 17 (8), 1401-1405, 2019
32 2019 An object-based change detection approach using uncertainty analysis for VHR images M Hao, W Shi, K Deng, H Zhang, P He
Journal of Sensors, 2016
31 2016 Accuracy assessment and scale effect investigation of UAV thermography for underground coal fire surface temperature monitoring G Yuan, Y Wang, F Zhao, T Wang, L Zhang, M Hao, S Yan, L Dang, ...
International Journal of Applied Earth Observation and Geoinformation 102 …, 2021
29 2021 A method to detect earthquake-collapsed buildings from high-resolution satellite images W Shi, M Hao
Remote Sensing Letters 4 (12), 2013
24 2013 Enhanced spatially constrained remotely sensed imagery classification using a fuzzy local double neighborhood information c-means clustering algorithm H Zhang, L Bruzzone, W Shi, M Hao, Y Wang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
23 2018 Level set evolution with local uncertainty constraints for unsupervised change detection X Zhang, W Shi, P Liang, M Hao
Remote Sensing Letters 8 (8), 811-820, 2017
23 2017 Analysis of spatial distribution pattern of change-detection error caused by misregistration W Shi, M Hao
International Journal of Remote Sensing 34 (19), 2013
23 2013 Unsupervised change detection using spectral features and a texture difference measure for VHR remote-sensing images Z Li, W Shi, M Hao, H Zhang
International journal of remote sensing 38 (23), 7302-7315, 2017
19 2017 Classification of very high spatial resolution imagery based on pixel shape features set and spectral information H Zhang, Y Wang, W Shi, M Hao, Z Miao
IEEE Geoscience and Remote Sensing Letters 11 (5), 2014
19 * 2014 
Wenzhong ShiChair Professor, The Hong Kong Polytechnic UniversityEmail verificata su polyu.edu.hk
