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Xiaokang Zhang
Xiaokang Zhang
The Chinese University of Hong Kong, Shenzhen
Verified email at cuhk.edu.cn - Homepage
Title
Cited by
Cited by
Year
Landslide inventory mapping from bitemporal high-resolution remote sensing images using change detection and multiscale segmentation
ZY Lv, W Shi, X Zhang, JA Benediktsson
IEEE journal of selected topics in applied earth observations and remote …, 2018
1132018
Remote sensing image classification based on stacked denoising autoencoder
P Liang, W Shi, X Zhang
Remote Sensing 10 (1), 16, 2017
962017
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 8 (3), 264, 2016
822016
Novel adaptive histogram trend similarity approach for land cover change detection by using bitemporal very-high-resolution remote sensing images
ZY Lv, TF Liu, P Zhang, JA Benediktsson, T Lei, X Zhang
IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9554-9574, 2019
762019
Post-processing approach for refining raw land cover change detection of very high-resolution remote sensing images
Z Lv, T Liu, Y Wan, JA Benediktsson, X Zhang
Remote sensing 10 (3), 472, 2018
622018
A crossmodal multiscale fusion network for semantic segmentation of remote sensing data
X Ma, X Zhang, MO Pun
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
332022
Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation learning
X Zhang, W Yu, MO Pun, W Shi
ISPRS Journal of Photogrammetry and Remote Sensing 197, 1-17, 2023
292023
Unsupervised domain adaptation augmented by mutually boosted attention for semantic segmentation of vhr remote sensing images
X Ma, X Zhang, Z Wang, MO Pun
IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023
252023
Multi-output network combining GNN and CNN for remote sensing scene classification
F Peng, W Lu, W Tan, K Qi, X Zhang, Q Zhu
Remote Sensing 14 (6), 1478, 2022
242022
Multilevel deformable attention-aggregated networks for change detection in bitemporal remote sensing imagery
X Zhang, W Yu, MO Pun
IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2022
232022
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
222017
Land cover change detection from high-resolution remote sensing imagery using multitemporal deep feature collaborative learning and a semi-supervised chan–vese model
X Zhang, W Shi, Z Lv, F Peng
Remote Sensing 11 (23), 2787, 2019
202019
Federated deep learning with prototype matching for object extraction from very-high-resolution remote sensing images
X Zhang, B Zhang, W Yu, X Kang
IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023
162023
Semi-supervised multi-temporal deep representation fusion network for landslide mapping from aerial orthophotos
X Zhang, MO Pun, M Liu
Remote Sensing 13 (4), 548, 2021
162021
Object-based sorted-histogram similarity measurement for detecting land cover change with VHR remote sensing images
Z Lv, X Yang, X Zhang, JA Benediktsson
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
152022
Cloud removal in optical remote sensing imagery using multiscale distortion-aware networks
W Yu, X Zhang, MO Pun
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
132022
GCD-DDPM: A generative change detection model based on difference-feature guided DDPM
Y Wen, X Ma, X Zhang, MO Pun
IEEE Transactions on Geoscience and Remote Sensing, 2024
122024
Validation of land cover products using reliability evaluation methods
W Shi, X Zhang, M Hao, P Shao, L Cai, X Lyu
Remote sensing 7 (6), 7846-7864, 2015
122015
Uncertainty assessment in multitemporal land use/cover mapping with classification system semantic heterogeneity
X Zhang, W Shi, Z Lv
Remote Sensing 11 (21), 2509, 2019
102019
RS3Mamba: Visual State Space Model for Remote Sensing Image Semantic Segmentation
X Ma, X Zhang, MO Pun
IEEE Geoscience and Remote Sensing Letters, 2024
92024
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