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jiangtao peng
jiangtao peng
Professor, Hubei University
Verified email at hubu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Asymmetric least squares for multiple spectra baseline correction
J Peng, S Peng, A Jiang, J Wei, C Li, J Tan
Analytica chimica acta 683 (1), 63-68, 2010
2712010
Dimension reduction using spatial and spectral regularized local discriminant embedding for hyperspectral image classification
Y Zhou, J Peng, CLP Chen
IEEE Transactions on Geoscience and Remote Sensing 53 (2), 1082-1095, 2014
2402014
Extreme learning machine with composite kernels for hyperspectral image classification
Y Zhou, J Peng, CLP Chen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
2032014
Low-rank and sparse representation for hyperspectral image processing: A review
J Peng, W Sun, HC Li, W Li, X Meng, C Ge, Q Du
IEEE Geoscience and Remote Sensing Magazine 10 (1), 10-43, 2021
1932021
Maximum likelihood estimation-based joint sparse representation for the classification of hyperspectral remote sensing images
J Peng, L Li, YY Tang
IEEE transactions on neural networks and learning systems 30 (6), 1790-1802, 2018
1682018
Region-kernel-based support vector machines for hyperspectral image classification
J Peng, Y Zhou, CLP Chen
IEEE Transactions on Geoscience and Remote Sensing 53 (9), 4810-4824, 2015
1642015
Self-paced joint sparse representation for the classification of hyperspectral images
J Peng, W Sun, Q Du
IEEE Transactions on Geoscience and Remote Sensing 57 (2), 1183-1194, 2018
1372018
Two-branch attention adversarial domain adaptation network for hyperspectral image classification
Y Huang, J Peng, W Sun, N Chen, Q Du, Y Ning, H Su
IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022
1132022
Cross-scene hyperspectral image classification with discriminative cooperative alignment
Y Zhang, W Li, R Tao, J Peng, Q Du, Z Cai
IEEE Transactions on Geoscience and Remote Sensing 59 (11), 9646-9660, 2021
1102021
Spatial–spectral squeeze-and-excitation residual network for hyperspectral image classification
L Wang, J Peng, W Sun
Remote Sensing 11 (7), 884, 2019
1082019
Fast and latent low-rank subspace clustering for hyperspectral band selection
W Sun, J Peng, G Yang, Q Du
IEEE Transactions on Geoscience and Remote Sensing 58 (6), 3906-3915, 2020
1062020
New incremental learning algorithm with support vector machines
J Xu, C Xu, B Zou, YY Tang, J Peng, X You
IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (11), 2230-2241, 2018
972018
Domain adaptation in remote sensing image classification: A survey
J Peng, Y Huang, W Sun, N Chen, Y Ning, Q Du
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
962022
Discriminative transfer joint matching for domain adaptation in hyperspectral image classification
J Peng, W Sun, L Ma, Q Du
IEEE Geoscience and Remote Sensing Letters 16 (6), 972-976, 2019
932019
MLR-DBPFN: A multi-scale low rank deep back projection fusion network for anti-noise hyperspectral and multispectral image fusion
W Sun, K Ren, X Meng, G Yang, C Xiao, J Peng, J Huang
IEEE transactions on geoscience and remote sensing 60, 1-14, 2022
852022
A simple and effective spectral-spatial method for mapping large-scale coastal wetlands using China ZY1-02D satellite hyperspectral images
W Sun, K Liu, G Ren, W Liu, G Yang, X Meng, J Peng
International Journal of Applied Earth Observation and Geoinformation 104 …, 2021
822021
A band divide-and-conquer multispectral and hyperspectral image fusion method
W Sun, K Ren, X Meng, C Xiao, G Yang, J Peng
IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021
822021
Robust joint sparse representation based on maximum correntropy criterion for hyperspectral image classification
J Peng, Q Du
IEEE Transactions on Geoscience and Remote Sensing 55 (12), 7152-7164, 2017
822017
LiteDepthwiseNet: A lightweight network for hyperspectral image classification
B Cui, XM Dong, Q Zhan, J Peng, W Sun
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021
772021
Category-specific prototype self-refinement contrastive learning for few-shot hyperspectral image classification
Q Liu, J Peng, N Chen, W Sun, Y Ning, Q Du
IEEE Transactions on Geoscience and Remote Sensing, 2023
742023
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