scholarly journals Remote Sensing Image Sharpening by Integrating Multispectral Image Super-Resolution and Convolutional Sparse Representation Fusion

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 46562-46574 ◽  
Author(s):  
Honglin Wu ◽  
Shuzhen Zhao ◽  
Jianming Zhang ◽  
Chaoquan Lu
Keyword(s):  
Remote Sensing ◽  
Sparse Representation ◽  
Super Resolution ◽  
Remote Sensing Image ◽  
Multispectral Image ◽  
Image Sharpening ◽  
Image Super Resolution

scholarly journals Remote Sensing Image Super-resolution Based on Sparse Representation

2018 ◽  
Vol 232 ◽  
pp. 02037
Author(s):  
Fuzhen Zhu ◽  
Yue Liu ◽  
Xin Huang ◽  
Haitao Zhu
Keyword(s):  
Remote Sensing ◽  
Sparse Representation ◽  
Super Resolution ◽  
Remote Sensing Image ◽  
Training Sample ◽  
Mean Value ◽  
Image Feature ◽  
Edge Information ◽  
Filtering Method ◽  
Image Super Resolution

In order to obtain higher resolution remote sensing images with more details, an improved sparse representation remote sensing image super-resolution reconstruction(SRR) algorithm is proposed. First, remote sensing image is preprocessed to obtain the required training sample image; then, the KSVD algorithm is used for dictionary training to obtain the high-low resolution dictionary pairs; finally, the image feature extraction block is represented, which is improved by using adaptive filtering method. At the same time, the mean value filtering method is used to improve the super-resolution reconstruction iterative calculation. Experiment results show that, compared with the most advanced sparse representation super-resolution algorithm, the improved sparse representation super-resolution method can effectively avoid the loss of edge information of SRR image and obtain a better super-resolution reconstruction effect. The texture details are more abundant in subjective vision, the PSNR is increased about 1 dB, and the structure similarity (SSIM) is increased about 0.01.

Remote sensing image super-resolution based on improved sparse representation

2019 ◽  
Vol 27 (3) ◽  
pp. 718-725
Author(s):  
朱福珍 ZHU Fu-zhen ◽  
刘 越 LIU Yue ◽  
黄 鑫 HUANG Xin ◽  
白鸿一 BAI Hong-yi ◽  
巫 红 WU Hong
Keyword(s):  
Remote Sensing ◽  
Sparse Representation ◽  
Super Resolution ◽  
Remote Sensing Image ◽  
Image Super Resolution
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