DDcGAN: A dual-discriminator conditional generative adversarial network for multi-resolution image fusion J Ma, H Xu, J Jiang, X Mei, XP Zhang
IEEE Transactions on Image Processing 29, 4980-4995, 2020
694 2020 SwinFusion: Cross-domain long-range learning for general image fusion via swin transformer J Ma, L Tang, F Fan, J Huang, X Mei, Y Ma
IEEE/CAA Journal of Automatica Sinica 9 (7), 1200-1217, 2022
367 2022 Infrared and visible image fusion based on target-enhanced multiscale transform decomposition J Chen, X Li, L Luo, X Mei, J Ma
Information Sciences 508, 64-78, 2020
275 2020 Spectral-spatial attention networks for hyperspectral image classification X Mei, E Pan, Y Ma, X Dai, J Huang, F Fan, Q Du, H Zheng, J Ma
Remote Sensing 11 (8), 963, 2019
233 2019 Hyperspectral image denoising with superpixel segmentation and low-rank representation F Fan, Y Ma, C Li, X Mei, J Huang, J Ma
Information Sciences 397, 48-68, 2017
135 2017 An infrared small target detecting algorithm based on human visual system J Han, Y Ma, J Huang, X Mei, J Ma
IEEE Geoscience and Remote Sensing Letters 13 (3), 452-456, 2016
131 2016 Hyperspectral image classification with robust sparse representation C Li, Y Ma, X Mei, C Liu, J Ma
IEEE Geoscience and Remote Sensing Letters 13 (5), 641-645, 2016
97 2016 Hyperspectral anomaly detection with robust graph autoencoders G Fan, Y Ma, X Mei, F Fan, J Huang, J Ma
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021
90 2021 Hyperspectral image denoising using the robust low-rank tensor recovery C Li, Y Ma, J Huang, X Mei, J Ma
JOSA A 32 (9), 1604-1612, 2015
81 2015 Robust Sparse Hyperspectral Unmixing With Norm Y Ma, C Li, X Mei, C Liu, J Ma
IEEE Transactions on Geoscience and Remote Sensing 55 (3), 1227-1239, 2017
76 2017 Spectral-spatial classification for hyperspectral image based on a single GRU E Pan, X Mei, Q Wang, Y Ma, J Ma
Neurocomputing 387, 150-160, 2020
54 2020 Hyperspectral anomaly detection via integration of feature extraction and background purification Y Ma, G Fan, Q Jin, J Huang, X Mei, J Ma
IEEE Geoscience and Remote Sensing Letters 18 (8), 1436-1440, 2020
48 2020 TANet: An Unsupervised Two-Stream Autoencoder Network for Hyperspectral Unmixing Q Jin, Y Ma, X Mei, J Ma
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021
47 2021 Robust GBM hyperspectral image unmixing with superpixel segmentation based low rank and sparse representation X Mei, Y Ma, C Li, F Fan, J Huang, J Ma
Neurocomputing 275, 2783-2797, 2018
45 2018 Hyperspectral unmixing with robust collaborative sparse regression C Li, Y Ma, X Mei, C Liu, J Ma
Remote Sensing 8 (7), 588, 2016
42 2016 Adversarial autoencoder network for hyperspectral unmixing Q Jin, Y Ma, F Fan, J Huang, X Mei, J Ma
IEEE Transactions on Neural Networks and Learning Systems, 2021
37 2021 Locality-constrained sparse representation for hyperspectral image classification Y Zhang, Y Ma, X Dai, H Li, X Mei, J Ma
Information Sciences 546, 858-870, 2021
34 2021 Infrared and visible image fusion based on total variation and augmented Lagrangian H Guo, Y Ma, X Mei, J Ma
JOSA A 34 (11), 1961-1968, 2017
33 2017 GBM-based unmixing of hyperspectral data using bound projected optimal gradient method C Li, Y Ma, J Huang, X Mei, C Liu, J Ma
IEEE Geoscience and Remote Sensing Letters 13 (7), 952-956, 2016
33 2016 Gaussian field estimator with manifold regularization for retinal image registration J Wang, J Chen, H Xu, S Zhang, X Mei, J Huang, J Ma
Signal Processing 157, 225-235, 2019
31 2019