| Change detection in synthetic aperture radar images based on deep neural networks M Gong, J Zhao, J Liu, Q Miao, L Jiao IEEE transactions on neural networks and learning systems 27 (1), 125-138, 2015 | 588 | 2015 |
| A deep convolutional coupling network for change detection based on heterogeneous optical and radar images J Liu, M Gong, K Qin, P Zhang IEEE transactions on neural networks and learning systems 29 (3), 545-559, 2016 | 407 | 2016 |
| Change detection based on deep feature representation and mapping transformation for multi-spatial-resolution remote sensing images P Zhang, M Gong, L Su, J Liu, Z Li ISPRS Journal of Photogrammetry and Remote Sensing 116, 24-41, 2016 | 283 | 2016 |
| A multiobjective sparse feature learning model for deep neural networks M Gong, J Liu, H Li, Q Cai, L Su IEEE transactions on neural networks and learning systems 26 (12), 3263-3277, 2015 | 205 | 2015 |
| Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images J Liu, M Gong, J Zhao, H Li, L Jiao Soft Computing 20, 4645-4657, 2016 | 63 | 2016 |
| A multiobjective fuzzy clustering method for change detection in SAR images H Li, M Gong, Q Wang, J Liu, L Su Applied Soft Computing 46, 767-777, 2016 | 63 | 2016 |
| A local statistical fuzzy active contour model for change detection H Li, M Gong, J Liu IEEE Geoscience and Remote Sensing Letters 12 (3), 582-586, 2014 | 30 | 2014 |
