Yushi Chen
Yushi Chen
Verified email at hit.edu.cn - Homepage
TitleCited byYear
Deep learning-based classification of hyperspectral data
Y Chen, Z Lin, X Zhao, G Wang, Y Gu
IEEE Journal of Selected topics in applied earth observations and remote …, 2014
8822014
Deep feature extraction and classification of hyperspectral images based on convolutional neural networks
Y Chen, H Jiang, C Li, X Jia, P Ghamisi
IEEE Transactions on Geoscience and Remote Sensing 54 (10), 6232-6251, 2016
6172016
Spectral–spatial classification of hyperspectral data based on deep belief network
Y Chen, X Zhao, X Jia
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
4692015
Advanced spectral classifiers for hyperspectral images: A review
P Ghamisi, J Plaza, Y Chen, J Li, AJ Plaza
IEEE Geoscience and Remote Sensing Magazine 5 (1), 8-32, 2017
1572017
Convolutional recurrent neural networks: Learning spatial dependencies for image representation
Z Zuo, B Shuai, G Wang, X Liu, X Wang, B Wang, Y Chen
Proceedings of the IEEE conference on computer vision and pattern …, 2015
922015
Generative adversarial networks for hyperspectral image classification
L Zhu, Y Chen, P Ghamisi, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 56 (9), 5046-5063, 2018
722018
A self-improving convolution neural network for the classification of hyperspectral data
P Ghamisi, Y Chen, XX Zhu
IEEE Geoscience and Remote Sensing Letters 13 (10), 1537-1541, 2016
662016
Spectral-spatial classification of hyperspectral image using autoencoders
Z Lin, Y Chen, X Zhao, G Wang
2013 9th International Conference on Information, Communications & Signal …, 2013
582013
New frontiers in spectral-spatial hyperspectral image classification: The latest advances based on mathematical morphology, Markov random fields, segmentation, sparse …
P Ghamisi, E Maggiori, S Li, R Souza, Y Tarablaka, G Moser, A De Giorgi, ...
IEEE Geoscience and Remote Sensing Magazine 6 (3), 10-43, 2018
482018
Hyperspectral images classification with Gabor filtering and convolutional neural network
Y Chen, L Zhu, P Ghamisi, X Jia, G Li, L Tang
IEEE Geoscience and Remote Sensing Letters 14 (12), 2355-2359, 2017
452017
Learning contextual dependence with convolutional hierarchical recurrent neural networks
Z Zuo, B Shuai, G Wang, X Liu, X Wang, B Wang, Y Chen
IEEE Transactions on Image Processing 25 (7), 2983-2996, 2016
452016
Deep fusion of remote sensing data for accurate classification
Y Chen, C Li, P Ghamisi, X Jia, Y Gu
IEEE Geoscience and Remote Sensing Letters 14 (8), 1253-1257, 2017
392017
Optimizing subspace SVM ensemble for hyperspectral imagery classification
Y Chen, X Zhao, Z Lin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
382014
Combining component substitution and multiresolution analysis: A novel generalized BDSD pansharpening algorithm
S Zhong, Y Zhang, Y Chen, D Wu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
212017
A BOI-preserving-based compression method for hyperspectral images
H Chen, Y Zhang, J Zhang, Y Chen
IEEE Transactions on Geoscience and Remote Sensing 48 (11), 3913-3923, 2010
142010
Hyperspectral data clustering based on density analysis ensemble
Y Chen, S Ma, X Chen, P Ghamisi
Remote sensing letters 8 (2), 194-203, 2017
132017
Deep fusion of hyperspectral and LiDAR data for thematic classification
Y Chen, C Li, P Ghamisi, C Shi, Y Gu
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
102016
Riemannian manifold learning based k-nearest-neighbor for hyperspectral image classification
Y Chen, Z Lin, X Zhao
2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 1975 …, 2013
102013
LiDAR data classification using morphological profiles and convolutional neural networks
A Wang, X He, P Ghamisi, Y Chen
IEEE Geoscience and Remote Sensing Letters 15 (5), 774-778, 2018
92018
Deep Learning for Hyperspectral Image Classification: An Overview
S Li, W Song, L Fang, Y Chen, P Ghamisi, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing, 2019
82019
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