Folgen
Yushi Chen
Yushi Chen
Bestätigte E-Mail-Adresse bei hit.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
26452014
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
25962016
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 57 (9), 6690-6709, 2019
12792019
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
12532015
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
6412017
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
6292018
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
3092018
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
2422017
Spatial-spectral transformer for hyperspectral image classification
X He, Y Chen, Z Lin
Remote Sensing 13 (3), 498, 2021
2382021
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
2042015
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
1922017
Automatic design of convolutional neural network for hyperspectral image classification
Y Chen, K Zhu, L Zhu, X He, P Ghamisi, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 57 (9), 7048-7066, 2019
1732019
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
1572016
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
1542013
Deep learning ensemble for hyperspectral image classification
Y Chen, Y Wang, Y Gu, X He, P Ghamisi, X Jia
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
1402019
Heterogeneous transfer learning for hyperspectral image classification based on convolutional neural network
X He, Y Chen, P Ghamisi
IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3246-3263, 2019
1382019
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
1162016
Deep convolutional capsule network for hyperspectral image spectral and spectral-spatial classification
K Zhu, Y Chen, P Ghamisi, X Jia, JA Benediktsson
Remote Sensing 11 (3), 223, 2019
1012019
Convolutional neural network-based radar jamming signal classification with sufficient and limited samples
G Shao, Y Chen, Y Wei
IEEE Access 8, 80588-80598, 2020
922020
Dual-path siamese CNN for hyperspectral image classification with limited training samples
L Huang, Y Chen
IEEE Geoscience and Remote Sensing Letters 18 (3), 518-522, 2020
882020
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20