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Not available anywhere: 49
Feedback attention-based dense CNN for hyperspectral image classification
C Yu, R Han, M Song, C Liu, CI Chang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021
Mandates: National Natural Science Foundation of China
A subpixel target detection approach to hyperspectral image classification
B Xue, C Yu, Y Wang, M Song, S Li, L Wang, HM Chen, CI Chang
IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5093-5114, 2017
Mandates: National Natural Science Foundation of China
Target-constrained interference-minimized band selection for hyperspectral target detection
X Shang, M Song, Y Wang, C Yu, H Yu, F Li, CI Chang
IEEE Transactions on Geoscience and Remote Sensing 59 (7), 6044-6064, 2020
Mandates: National Natural Science Foundation of China
Spectral–spatial feature extraction for hyperspectral anomaly detection
J Lei, W Xie, J Yang, Y Li, CI Chang
IEEE Transactions on Geoscience and Remote Sensing 57 (10), 8131-8143, 2019
Mandates: National Natural Science Foundation of China
Spectral adversarial feature learning for anomaly detection in hyperspectral imagery
W Xie, B Liu, Y Li, J Lei, CI Chang, G He
IEEE Transactions on Geoscience and Remote Sensing 58 (4), 2352-2365, 2019
Mandates: National Natural Science Foundation of China
Class signature-constrained background-suppressed approach to band selection for classification of hyperspectral images
C Yu, Y Wang, M Song, CI Chang
IEEE Transactions on Geoscience and Remote Sensing 57 (1), 14-31, 2018
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
3-D receiver operating characteristic analysis for hyperspectral image classification
M Song, X Shang, CI Chang
IEEE Transactions on Geoscience and Remote Sensing 58 (11), 8093-8115, 2020
Mandates: National Natural Science Foundation of China
Band subset selection for anomaly detection in hyperspectral imagery
L Wang, CI Chang, LC Lee, Y Wang, B Xue, M Song, C Yu, S Li
IEEE Transactions on Geoscience and Remote Sensing 55 (9), 4887-4898, 2017
Mandates: National Natural Science Foundation of China
Iterative support vector machine for hyperspectral image classification
S Zhong, CI Chang, Y Zhang
2018 25th IEEE International Conference on Image Processing (ICIP), 3309-3312, 2018
Mandates: National Natural Science Foundation of China
Discriminative reconstruction for hyperspectral anomaly detection with spectral learning
J Lei, S Fang, W Xie, Y Li, CI Chang
IEEE Transactions on Geoscience and Remote Sensing 58 (10), 7406-7417, 2020
Mandates: National Natural Science Foundation of China
Discriminative feature learning with distance constrained stacked sparse autoencoder for hyperspectral target detection
Y Shi, J Lei, Y Yin, K Cao, Y Li, CI Chang
IEEE Geoscience and Remote Sensing Letters 16 (9), 1462-1466, 2019
Mandates: National Natural Science Foundation of China
Constrained-target band selection for multiple-target detection
Y Wang, L Wang, C Yu, E Zhao, M Song, CH Wen, CI Chang
IEEE Transactions on Geoscience and Remote Sensing 57 (8), 6079-6103, 2019
Mandates: National Natural Science Foundation of China
A Posteriori Hyperspectral Anomaly Detection for Unlabeled Classification
Y Wang, LC Lee, B Xue, L Wang, M Song, C Yu, S Li, CI Chang
IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3091-3106, 2018
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Hyperspectral band selection for spectral–spatial anomaly detection
W Xie, Y Li, J Lei, J Yang, CI Chang, Z Li
IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3426-3436, 2019
Mandates: National Natural Science Foundation of China
Iterative edge preserving filtering approach to hyperspectral image classification
S Zhong, C Chang, Y Zhang
IEEE Geoscience and Remote Sensing Letters 16 (1), 90-94, 2018
Mandates: National Natural Science Foundation of China
Multiview calibrated prototype learning for few-shot hyperspectral image classification
C Yu, B Gong, M Song, E Zhao, CI Chang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022
Mandates: National Natural Science Foundation of China
Unsupervised domain adaptation with content-wise alignment for hyperspectral imagery classification
C Yu, C Liu, M Song, CI Chang
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
Mandates: National Natural Science Foundation of China
Class information-based band selection for hyperspectral image classification
M Song, X Shang, Y Wang, C Yu, CI Chang
IEEE Transactions on Geoscience and Remote Sensing 57 (11), 8394-8416, 2019
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Progressive band processing of constrained energy minimization for subpixel detection
CI Chang, RC Schultz, MC Hobbs, SY Chen, Y Wang, C Liu
IEEE Transactions on Geoscience and Remote Sensing 53 (3), 1626-1637, 2014
Mandates: National Natural Science Foundation of China
Semisupervised hyperspectral band selection based on dual-constrained low-rank representation
C Yu, S Zhou, M Song, CI Chang
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
Mandates: National Natural Science Foundation of China
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