適用於公開取用強制性政策的文章 - Jocelyn Chanussot瞭解詳情
未在任何資料庫公開的文章：115
Hyperspectral and multispectral data fusion: A comparative review of the recent literature
N Yokoya, C Grohnfeldt, J Chanussot
IEEE Geoscience and Remote Sensing Magazine 5 (2), 29-56, 2017
授權規定： US National Science Foundation
Scene classification with recurrent attention of VHR remote sensing images
Q Wang, S Liu, J Chanussot, X Li
IEEE Transactions on Geoscience and Remote Sensing 57 (2), 1155-1167, 2018
授權規定： Chinese Academy of Sciences, National Natural Science Foundation of China
Convolutional neural networks for multimodal remote sensing data classification
X Wu, D Hong, J Chanussot
IEEE Transactions on Geoscience and Remote Sensing 60, 1-10, 2021
授權規定： National Natural Science Foundation of China, Agence Nationale de la …
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks
D Hong, B Zhang, H Li, Y Li, J Yao, C Li, M Werner, J Chanussot, A Zipf, ...
Remote Sensing of Environment 299, 113856, 2023
授權規定： National Natural Science Foundation of China, Agence Nationale de la …
Nonlinear multiple kernel learning with multiple-structure-element extended morphological profiles for hyperspectral image classification
Y Gu, T Liu, X Jia, JA Benediktsson, J Chanussot
IEEE Transactions on Geoscience and Remote Sensing 54 (6), 3235-3247, 2016
授權規定： National Natural Science Foundation of China
Multiple kernel learning for hyperspectral image classification: A review
Y Gu, J Chanussot, X Jia, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6547-6565, 2017
授權規定： National Natural Science Foundation of China
Extended vision transformer (ExViT) for land use and land cover classification: A multimodal deep learning framework
J Yao, B Zhang, C Li, D Hong, J Chanussot
IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023
授權規定： Chinese Academy of Sciences, National Natural Science Foundation of China
LRR-Net: An interpretable deep unfolding network for hyperspectral anomaly detection
C Li, B Zhang, D Hong, J Yao, J Chanussot
IEEE Transactions on Geoscience and Remote Sensing 61, 1-12, 2023
授權規定： National Natural Science Foundation of China, Agence Nationale de la …
Nonlocal patch tensor sparse representation for hyperspectral image super-resolution
Y Xu, Z Wu, J Chanussot, Z Wei
IEEE Transactions on Image Processing 28 (6), 3034-3047, 2019
授權規定： National Natural Science Foundation of China
Local similarity-based spatial–spectral fusion hyperspectral image classification with deep CNN and Gabor filtering
UA Bhatti, Z Yu, J Chanussot, Z Zeeshan, L Yuan, W Luo, SA Nawaz, ...
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021
授權規定： National Natural Science Foundation of China
Learning tensor low-rank representation for hyperspectral anomaly detection
M Wang, Q Wang, D Hong, SK Roy, J Chanussot
IEEE Transactions on Cybernetics 53 (1), 679-691, 2022
授權規定： National Natural Science Foundation of China, Agence Nationale de la …
Hyperspectral pansharpening using deep prior and dual attention residual network
Y Zheng, J Li, Y Li, J Guo, X Wu, J Chanussot
IEEE transactions on geoscience and remote sensing 58 (11), 8059-8076, 2020
授權規定： National Natural Science Foundation of China
Hyperspectral images super-resolution via learning high-order coupled tensor ring representation
Y Xu, Z Wu, J Chanussot, Z Wei
IEEE transactions on neural networks and learning systems 31 (11), 4747-4760, 2020
授權規定： National Natural Science Foundation of China
Few-shot learning with class-covariance metric for hyperspectral image classification
B Xi, J Li, Y Li, R Song, D Hong, J Chanussot
IEEE Transactions on Image Processing 31, 5079-5092, 2022
授權規定： National Natural Science Foundation of China
CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging
C Li, B Zhang, D Hong, J Zhou, G Vivone, S Li, J Chanussot
Information Fusion 108, 102408, 2024
授權規定： Agence Nationale de la Recherche
Rotation-based support vector machine ensemble in classification of hyperspectral data with limited training samples
J Xia, J Chanussot, P Du, X He
IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1519-1531, 2015
授權規定： National Natural Science Foundation of China
Siamese transformer network for hyperspectral image target detection
W Rao, L Gao, Y Qu, X Sun, B Zhang, J Chanussot
IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022
授權規定： National Natural Science Foundation of China
Multimodal GANs: Toward crossmodal hyperspectral–multispectral image segmentation
D Hong, J Yao, D Meng, Z Xu, J Chanussot
IEEE Transactions on Geoscience and Remote Sensing 59 (6), 5103-5113, 2020
授權規定： National Natural Science Foundation of China, AXA Research Fund, France
Recent developments in parallel and distributed computing for remotely sensed big data processing
Z Wu, J Sun, Y Zhang, Z Wei, J Chanussot
Proceedings of the IEEE 109 (8), 1282-1305, 2021
授權規定： National Natural Science Foundation of China
Semi-active convolutional neural networks for hyperspectral image classification
J Yao, X Cao, D Hong, X Wu, D Meng, J Chanussot, Z Xu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022
授權規定： National Natural Science Foundation of China, Agence Nationale de la …
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