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Ping Zhong
Ping Zhong
Verified email at nudt.edu.cn
Title
Cited by
Cited by
Year
Learning to diversify deep belief networks for hyperspectral image classification
P Zhong, Z Gong, S Li, CB Schönlieb
IEEE Transactions on Geoscience and Remote Sensing 55 (6), 3516-3530, 2017
3392017
Multiscale dynamic graph convolutional network for hyperspectral image classification
S Wan, C Gong, P Zhong, B Du, L Zhang, J Yang
IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3162-3177, 2019
3352019
A multiple conditional random fields ensemble model for urban area detection in remote sensing optical images
P Zhong, R Wang
IEEE Transactions on Geoscience and Remote Sensing 45 (12), 3978-3988, 2007
2212007
A CNN with multiscale convolution and diversified metric for hyperspectral image classification
Z Gong, P Zhong, Y Yu, W Hu, S Li
IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3599-3618, 2019
2052019
Diversity in machine learning
Z Gong, P Zhong, W Hu
Ieee Access 7, 64323-64350, 2019
1942019
Unsupervised representation learning with deep convolutional neural network for remote sensing images
Y Yu, Z Gong, P Zhong, J Shan
Image and Graphics: 9th International Conference, ICIG 2017, Shanghai, China …, 2017
1622017
Learning conditional random fields for classification of hyperspectral images
P Zhong, R Wang
IEEE transactions on image processing 19 (7), 1890-1907, 2010
1562010
Hyperspectral image classification with context-aware dynamic graph convolutional network
S Wan, C Gong, P Zhong, S Pan, G Li, J Yang
IEEE Transactions on Geoscience and Remote Sensing 59 (1), 597-612, 2020
1522020
Multiple-spectral-band CRFs for denoising junk bands of hyperspectral imagery
P Zhong, R Wang
IEEE Transactions on Geoscience and Remote Sensing 51 (4), 2260-2275, 2012
1192012
Active learning with Gaussian process classifier for hyperspectral image classification
S Sun, P Zhong, H Xiao, R Wang
IEEE Transactions on Geoscience and Remote Sensing 53 (4), 1746-1760, 2014
952014
Diversity-promoting deep structural metric learning for remote sensing scene classification
Z Gong, P Zhong, Y Yu, W Hu
IEEE Transactions on Geoscience and Remote Sensing 56 (1), 371-390, 2017
892017
Modeling and classifying hyperspectral imagery by CRFs with sparse higher order potentials
P Zhong, R Wang
IEEE Transactions on Geoscience and Remote Sensing 49 (2), 688-705, 2010
782010
Dynamic learning of SMLR for feature selection and classification of hyperspectral data
P Zhong, P Zhang, R Wang
IEEE Geoscience and Remote Sensing Letters 5 (2), 280-284, 2008
762008
Jointly learning the hybrid CRF and MLR model for simultaneous denoising and classification of hyperspectral imagery
P Zhong, R Wang
IEEE Transactions on Neural Networks and Learning Systems 25 (7), 1319-1334, 2014
742014
Automatic graph learning convolutional networks for hyperspectral image classification
J Chen, L Jiao, X Liu, L Li, F Liu, S Yang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021
692021
An unsupervised convolutional feature fusion network for deep representation of remote sensing images
Y Yu, Z Gong, C Wang, P Zhong
IEEE Geoscience and Remote Sensing Letters 15 (1), 23-27, 2017
612017
Statistical loss and analysis for deep learning in hyperspectral image classification
Z Gong, P Zhong, W Hu
IEEE transactions on neural networks and learning systems 32 (1), 322-333, 2020
532020
A MRF Model-Based Active Learning Framework for the Spectral-Spatial Classification of Hyperspectral Imagery
S Sun, Z Ping, H Xiao, R Wang
IEEE Journal of Selected Topics in Signal Processing 9 (6), 1074 - 1088, 2015
492015
Learning sparse CRFs for feature selection and classification of hyperspectral imagery
P Zhong, R Wang
IEEE Transactions on Geoscience and Remote Sensing 46 (12), 4186-4197, 2008
452008
Using combination of statistical models and multilevel structural information for detecting urban areas from a single gray-level image
P Zhong, R Wang
IEEE transactions on geoscience and remote sensing 45 (5), 1469-1482, 2007
412007
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