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Mingyang Zhang
Mingyang Zhang
School of electronic engineering, Xidian University
Verified email at xidian.edu.cn
Title
Cited by
Cited by
Year
Unsupervised band selection based on evolutionary multiobjective optimization for hyperspectral images
M Gong, M Zhang, Y Yuan
IEEE Transactions on Geoscience and Remote Sensing 54 (1), 544-557, 2015
1802015
Unsupervised feature extraction in hyperspectral images based on Wasserstein generative adversarial network
M Zhang, M Gong, Y Mao, J Li, Y Wu
IEEE Transactions on Geoscience and Remote Sensing 57 (5), 2669-2688, 2018
1232018
HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images
H Zheng, M Gong, T Liu, F Jiang, T Zhan, D Lu, M Zhang
Pattern Recognition 129, 108717, 2022
1082022
Unsupervised hyperspectral band selection by fuzzy clustering with particle swarm optimization
M Zhang, J Ma, M Gong
IEEE Geoscience and Remote Sensing Letters 14 (5), 773-777, 2017
982017
Building change detection for VHR remote sensing images via local–global pyramid network and cross-task transfer learning strategy
T Liu, M Gong, D Lu, Q Zhang, H Zheng, F Jiang, M Zhang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021
892021
Hyperspectral band selection based on multi-objective optimization with high information and low redundancy
M Zhang, M Gong, Y Chan
Applied Soft Computing 70, 604-621, 2018
742018
RORNet: Partial-to-partial registration network with reliable overlapping representations
Y Wu, Y Zhang, W Ma, M Gong, X Fan, M Zhang, AK Qin, Q Miao
IEEE Transactions on Neural Networks and Learning Systems, 2023
702023
Deep learning and mapping based ternary change detection for information unbalanced images
L Su, M Gong, P Zhang, M Zhang, J Liu, H Yang
Pattern Recognition 66, 213-228, 2017
692017
Unsupervised hyperspectral image band selection via column subset selection
C Wang, M Gong, M Zhang, Y Chan
IEEE Geoscience and Remote Sensing Letters 12 (7), 1411-1415, 2015
692015
A spectral and spatial attention network for change detection in hyperspectral images
M Gong, F Jiang, AK Qin, T Liu, T Zhan, D Lu, H Zheng, M Zhang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021
582021
Multi-objective optimization for location-based and preferences-aware recommendation
S Wang, M Gong, Y Wu, M Zhang
Information Sciences 513, 614-626, 2020
512020
Self-supervised monocular depth estimation with multiscale perception
Y Zhang, M Gong, J Li, M Zhang, F Jiang, H Zhao
IEEE transactions on image processing 31, 3251-3266, 2022
442022
Unsupervised scale-driven change detection with deep spatial–spectral features for VHR images
T Zhan, M Gong, X Jiang, M Zhang
IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5653-5665, 2020
442020
Symmetric all convolutional neural-network-based unsupervised feature extraction for hyperspectral images classification
M Zhang, M Gong, H He, S Zhu
IEEE Transactions on Cybernetics 52 (5), 2981-2993, 2020
422020
A coupling translation network for change detection in heterogeneous images
M Gong, X Niu, T Zhan, M Zhang
International journal of remote sensing 40 (9), 3647-3672, 2019
412019
Multiform ensemble self-supervised learning for few-shot remote sensing scene classification
J Li, M Gong, H Liu, Y Zhang, M Zhang, Y Wu
IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023
362023
Two-path aggregation attention network with quad-patch data augmentation for few-shot scene classification
M Gong, J Li, Y Zhang, Y Wu, M Zhang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022
362022
A two-phase multiobjective sparse unmixing approach for hyperspectral data
X Jiang, M Gong, H Li, M Zhang, J Li
IEEE Transactions on Geoscience and Remote Sensing 56 (1), 508-523, 2017
362017
Spatially self-paced convolutional networks for change detection in heterogeneous images
H Li, M Gong, M Zhang, Y Wu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
312021
Self-supervised global–local contrastive learning for fine-grained change detection in VHR images
F Jiang, M Gong, H Zheng, T Liu, M Zhang, J Liu
IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023
252023
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