| 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 | 177 | 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 | 128 | 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 | 97 | 2014 |
| 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 | 81 | 2016 |
| A Novel Adaptive Fuzzy Local Information -Means Clustering Algorithm for Remotely Sensed Imagery Classification H Zhang, Q Wang, W Shi, M Hao IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5057-5068, 2017 | 80 | 2017 |
| 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 | 75 | 2020 |
| 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 | 72 | 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 | 67 | 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 | 59 | 2018 |
| 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 | 58 | 2013 |
| 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 | 26 | 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 | 26 | 2016 |
| 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 |
| 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 | 22 | 2017 |
| A method to detect earthquake-collapsed buildings from high-resolution satellite images W Shi, M Hao Remote Sensing Letters 4 (12), 2013 | 22 | 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 | 18 | 2018 |
| Unsupervised change detection using a novel fuzzy c-means clustering simultaneously incorporating local and global information M Hao, Z Hua, Z Li, B Chen Multimedia Tools and Applications 76, 20081-20098, 2017 | 18 | 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 | 18* | 2014 |
| 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 | 17 | 2021 |
Wenzhong ShiChair Professor, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
