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 | 236 | 2010 |
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 | 235 | 2014 |
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 | 199 | 2014 |
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 | 156 | 2015 |
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 | 135 | 2018 |
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 | 130 | 2021 |
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 | 118 | 2018 |
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 | 95 | 2020 |
Spatial–spectral squeeze-and-excitation residual network for hyperspectral image classification L Wang, J Peng, W Sun Remote Sensing 11 (7), 884, 2019 | 91 | 2019 |
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 | 89 | 2018 |
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 | 87 | 2021 |
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 | 80 | 2019 |
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 | 79 | 2017 |
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 | 67 | 2014 |
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 | 65 | 2021 |
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 | 64 | 2020 |
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 | 62 | 2021 |
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 | 60 | 2022 |
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 | 60 | 2011 |
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 | 57 | 2021 |