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Xiaoguang Mei
Xiaoguang Mei
其他姓名梅晓光
在 whu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
7642020
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
4322022
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
2972020
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
2452019
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
1392017
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
1352016
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
1032021
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
992016
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
822015
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
772017
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
582020
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
512020
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
492021
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
442021
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
442018
Hyperspectral unmixing with robust collaborative sparse regression
C Li, Y Ma, X Mei, C Liu, J Ma
Remote Sensing 8 (7), 588, 2016
422016
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
352021
A generative adversarial network with adaptive constraints for multi-focus image fusion
J Huang, Z Le, Y Ma, X Mei, F Fan
Neural Computing and Applications 32, 15119-15129, 2020
342020
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
332017
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
332016
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