jiangtao peng
jiangtao peng
Professor, Hubei University
Verified email at hubu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
1872014
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
1542014
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
1472010
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
1102015
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
652018
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
622017
Extreme learning machine for ranking: Generalization analysis and applications
H Chen, J Peng, Y Zhou, L Li, Z Pan
Neural Networks 53, 119-126, 2014
602014
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
572018
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
492018
Near-infrared calibration transfer based on spectral regression
J Peng, S Peng, A Jiang, J Tan
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 78 (4 …, 2011
462011
Spatial–spectral squeeze-and-excitation residual network for hyperspectral image classification
L Wang, J Peng, W Sun
Remote Sensing 11 (7), 884, 2019
392019
Nearest regularized joint sparse representation for hyperspectral image classification
C Chen, N Chen, J Peng
IEEE Geoscience and Remote Sensing Letters 13 (3), 424-428, 2016
372016
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
362020
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
342019
Error bounds of multi-graph regularized semi-supervised classification
H Chen, L Li, J Peng
Information Sciences 179 (12), 1960-1969, 2009
312009
Combination of activation functions in extreme learning machines for multivariate calibration
J Peng, L Li, YY Tang
Chemometrics and Intelligent Laboratory Systems 120, 53-58, 2013
292013
Ideal regularized composite kernel for hyperspectral image classification
J Peng, H Chen, Y Zhou, L Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
282016
Partial least squares and random sample consensus in outlier detection
J Peng, S Peng, Y Hu
Analytica chimica acta 719, 24-29, 2012
272012
Hyperspectral band selection using weighted kernel regularization
W Sun, G Yang, J Peng, Q Du
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
242019
Self-paced nonnegative matrix factorization for hyperspectral unmixing
J Peng, Y Zhou, W Sun, Q Du, L Xia
IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1501-1515, 2020
232020
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