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A novel remote sensing image fusion scheme based on NSCT and Compressed Sensing
Wan, Peng1; Song, Zongxi2
2017
会议名称Applied Optics and Photonics China: Optical Sensing and Imaging Technology and Applications, AOPC 2017
会议录名称AOPC 2017: Optical Sensing and Imaging Technology and Applications
卷号10462
会议日期2017-06-04
会议地点Beijing, China
出版者SPIE
产权排序1
摘要

In this letter, we propose a novel remote sensing image fusion method based on the non-subsampled contourlet transform and the compressed sensing (CS) theory.[2][3] Method First, the IHS transformation of the multispectral images is conducted to extract the I component. Secondly, the panchromatic image and the component intensity of the multispectral image are decomposed by NSCT. Then the NSCT coefficients of high and low frequency subbands are fused by different rules, respectively. For the high frequency subbands, the absolute maximum selection rule is used to integrate high-pass subbands; while the adaptive regional energy weighting rule is proposed to fuse low-pass subbands. The sparse coefficients are fused before being measured by Gaussian matrix. The fused image is accurately reconstructed by Compressive Sampling Matched Pursuit algorithm (CoSaMP). Some experiments are taken to investigate the performance of our proposed method, and the results prove its superiority to the counterparts. © 2017 SPIE.

作者部门空间光学应用研究室
DOI10.1117/12.2285590
收录类别EI ; ISTP
ISBN号9781510614055
语种英语
ISSN号0277786X
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/29919
专题空间光学应用研究室
通讯作者Wan, Peng
作者单位1.Space Optics Laboratory, Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, 710119, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
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Wan, Peng,Song, Zongxi. A novel remote sensing image fusion scheme based on NSCT and Compressed Sensing[C]:SPIE,2017.
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