Slow Feature Analysis for Change Detection in Multispectral Imagery C Wu, B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 52 (5), 2858 - 2874, 2014 | 185 | 2014 |
A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion C Wu, B Du, X Cui, L Zhang Remote Sensing of Environment 199, 241-255, 2017 | 141 | 2017 |
Unsupervised deep slow feature analysis for change detection in multi-temporal remote sensing images B Du, L Ru, C Wu, L Zhang IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9976-9992, 2019 | 136 | 2019 |
A Subspace-Based Change Detection Method for Hyperspectral Images C Wu, B Du, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 113 | 2013 |
Change detection in multisource VHR images via deep Siamese convolutional multiple-layers recurrent neural network H Chen, C Wu, B Du, L Zhang, L Wang IEEE Transactions on Geoscience and Remote Sensing 58 (4), 2848-2864, 2019 | 99 | 2019 |
Kernel slow feature analysis for scene change detection C Wu, L Zhang, B Du IEEE Transactions on Geoscience and Remote Sensing 55 (4), 2367-2384, 2017 | 94 | 2017 |
Urban change detection based on Dempster–Shafer theory for multitemporal very high-resolution imagery H Luo, C Liu, C Wu, X Guo Remote Sensing 10 (7), 980, 2018 | 80 | 2018 |
A scene change detection framework for multi-temporal very high resolution remote sensing images C Wu, L Zhang, L Zhang Signal Processing 124, 184-197, 2016 | 69 | 2016 |
Automatic radiometric normalization for multitemporal remote sensing imagery with iterative slow feature analysis L Zhang, C Wu, B Du IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6141-6155, 2014 | 66 | 2014 |
Object tracking in satellite videos by fusing the kernel correlation filter and the three-frame-difference algorithm B Du, Y Sun, S Cai, C Wu, Q Du IEEE Geoscience and Remote Sensing Letters 15 (2), 168-172, 2017 | 54 | 2017 |
Object tracking in satellite videos based on a multiframe optical flow tracker B Du, S Cai, C Wu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 44 | 2019 |
Hyperspectral anomalous change detection based on joint sparse representation C Wu, B Du, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 146, 137-150, 2018 | 35 | 2018 |
Deep siamese multi-scale convolutional network for change detection in multi-temporal VHR images H Chen, C Wu, B Du, L Zhang 2019 10th International Workshop on the Analysis of Multitemporal Remote …, 2019 | 34 | 2019 |
Tracking objects from satellite videos: A velocity feature based correlation filter J Shao, B Du, C Wu, L Zhang IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7860-7871, 2019 | 31 | 2019 |
Can we track targets from space? A hybrid kernel correlation filter tracker for satellite video J Shao, B Du, C Wu, L Zhang IEEE Transactions on Geoscience and Remote Sensing 57 (11), 8719-8731, 2019 | 29 | 2019 |
Hyperspectral anomaly change detection with slow feature analysis C Wu, L Zhang, B Du Neurocomputing 151, 175-187, 2015 | 28 | 2015 |
Unsupervised scene change detection via latent Dirichlet allocation and multivariate alteration detection B Du, Y Wang, C Wu, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 26 | 2018 |
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion L Ru, B Du, C Wu IEEE Transactions on Image Processing 30, 1382-1394, 2020 | 25 | 2020 |
Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network C Wu, H Chen, B Do, L Zhang arXiv preprint arXiv:1912.08628, 2019 | 25 | 2019 |
An improved method for impervious surface mapping incorporating LiDAR data and high-resolution imagery at different acquisition times H Luo, L Wang, C Wu, L Zhang Remote Sensing 10 (9), 1349, 2018 | 22 | 2018 |