フォロー
Chengle Zhou
Chengle Zhou
確認したメール アドレス: mail2.sysu.edu.cn - ホームページ
タイトル
引用先
引用先
Hyperspectral classification with noisy label detection via superpixel-to-pixel weighting distance
B Tu, C Zhou, D He, S Huang, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 58 (6), 4116-4131, 2020
762020
Hyperspectral anomaly detection via density peak clustering
B Tu, X Yang, N Li, C Zhou, D He
Pattern Recognition Letters 129, 144-149, 2020
632020
Spectral-Spatial Hyperspectral Classification via Structural-Kernel Collaborative Representation
B Tu, C Zhou, X Liao, G Zhang, Y Peng
IEEE Geoscience and Remote Sensing Letters 18 (2), 861-865, 2021
532021
Hyperspectral imagery noisy label detection by spectral angle local outlier factor
B Tu, C Zhou, W Kuang, L Guo, X Ou
IEEE Geoscience and Remote Sensing Letters 15 (9), 1417-1421, 2018
442018
Hyperspectral anomaly detection using dual window density
B Tu, X Yang, C Zhou, D He, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 58 (12), 8503-8517, 2020
402020
Ensemble EMD-based spectral-spatial feature extraction for hyperspectral image classification
Q Li, B Zheng, B Tu, J Wang, C Zhou
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
272020
Feature Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification
B Tu, C Zhou, J Peng, G Zhang, Y Peng
IEEE Transactions on Instrumentation and Measurement 70, 1-16, no. 5006916, 2021
262021
Spatial Peak-Aware Collaborative Representation for Hyperspectral Imagery Classification
C Zhou, B Tu, Q Ren, S Chen
IEEE Geoscience and Remote Sensing Letters 19, 1-9, Art. no. 5506805, 2022
252022
Hierarchical structure-based noisy labels detection for hyperspectral image classification
B Tu, C Zhou, X Liao, Z Xu, Y Peng, X Ou
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
172020
Feature Extraction via 3-D Block Characteristics Sharing for Hyperspectral Image Classification
B Tu, C Zhou, X Liao, Q Li, Y Peng
IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10503-10518, 2021
162021
Multiattribute sample learning for hyperspectral image classification using hierarchical peak attribute propagation
B Tu, C Zhou, W Kuang, S Chen, A Plaza
IEEE Transactions on Instrumentation and Measurement 71, 1-17, 2022
152022
Feature Extraction Using Multitask Superpixel Auxiliary Learning for Hyperspectral Classification
B Tu, X Liao, C Zhou, S Chen, W He
IEEE Transactions on Instrumentation and Measurement 70, 1-16, no. 5018216, 2021
132021
Multiview hierarchical network for hyperspectral and LiDAR data classification
Y Peng, Y Zhang, B Tu, C Zhou, Q Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
112022
Feature extraction using multidimensional spectral regression whitening for hyperspectral image classification
B Tu, Q Ren, C Zhou, S Chen, W He
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
92021
Kernel entropy component analysis-based robust hyperspectral image supervised classification
B Tu, C Zhou, J Peng, W He, X Ou, Z Xu
Remote Sensing 11 (23), 2823, 2019
72019
Deep feature representation for anti-fraud system
B Tu, D He, Y Shang, C Zhou, W Li
Journal of Visual Communication and Image Representation 59, 253-256, 2019
72019
Spectral‐spatial sequence characteristics‐based convolutional transformer for hyperspectral change detection
C Zhou, Q Shi, D He, B Tu, H Li, A Plaza
CAAI Transactions on Intelligence Technology 8 (4), 1237–1257, 2023
62023
Structure-aware multikernel learning for hyperspectral image classification
C Zhou, B Tu, N Li, W He, A Plaza
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
52021
An overview of face-related technologies
H Fei, B Tu, Q Chen, D He, C Zhou, Y Peng
Journal of Visual Communication and Image Representation 56, 139-143, 2018
52018
Multi-resolution pyramid enhanced non-local feature extraction for hyperspectral classification
B Tu, X Liao, Q Li, C Zhou, A Plaza
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
42022
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