Nonlocal Low-Rank-Based Compressed Sensing for Remote Sensing Image Reconstruction

	Nonlocal Low-Rank-Based Compressed Sensing for Remote Sensing Image Reconstruction
	Wei, Jingbo 1; Huang, Yukun 1; Lu, Ke 1; Wang, Lizhe 1
刊名	IEEE Geoscience and Remote Sensing Letters
	2016
卷号	13 期号:10 页码:1557-1561
关键词	ELECTROMAGNETIC SCATTERING RETRIEVAL PARAMETER CANOPIES CROPS MODEL
通讯作者	Wang, Lizhe (Lizhe.Wang@computer.org)
英文摘要	Remote sensing image reconstruction from undersampled data is very much required by the onboard imaging system to cut down data volume and maintain image quality. Nonlocal low-rank regularization deriving from group sparsity, low rank, singular-value thresholding, and nonconvex surrogate functions have recently emerged for image recovery. To use nonlocal low-rank compressed sensing for remote sensing image reconstruction, spectral and temporal redundancy are considered in this letter by utilizing the similarity of correlated bands or historical records. Prior structural knowledge helps to group nonlocal similar blocks more accurately. Oversmoothness of low-rank regularization is improved by injecting referenced structures selectively. The proposed compressed sensing method is tested on satellite images from MODIS, LandSat-7, LandSat-8, IKONOS, and Google Earth to make clear that it outweighs state-of-the-art methods in maintaining fidelity and high visual details. © 2016 IEEE.
学科主题	Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology
类目[WOS]	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:20163402730850
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39449]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1. Institute of Space Science and Technology, Nanchang University, Nanchang 2.330031, China 3. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 4.100094, China 5. Jiangxi University of Finance and Economics, Nanchang 6.330013, China 7. College of Engineering and Information Technology, University of the Chinese Academy of Sciences, Beijing 8.100049, China 9. School of Computer Science, China University of Geosciences, Wuhan 10.430074, China
推荐引用方式 GB/T 7714	Wei, Jingbo,Huang, Yukun,Lu, Ke,et al. Nonlocal Low-Rank-Based Compressed Sensing for Remote Sensing Image Reconstruction[J]. IEEE Geoscience and Remote Sensing Letters,2016,13(10):1557-1561.
APA	Wei, Jingbo,Huang, Yukun,Lu, Ke,&Wang, Lizhe.(2016).Nonlocal Low-Rank-Based Compressed Sensing for Remote Sensing Image Reconstruction.IEEE Geoscience and Remote Sensing Letters,13(10),1557-1561.
MLA	Wei, Jingbo,et al."Nonlocal Low-Rank-Based Compressed Sensing for Remote Sensing Image Reconstruction".IEEE Geoscience and Remote Sensing Letters 13.10(2016):1557-1561.