Multibaseline polarimetric synthetic aperture radar tomography of forested areas using wavelet-based distribution compressive sensing

	Multibaseline polarimetric synthetic aperture radar tomography of forested areas using wavelet-based distribution compressive sensing
	Liang, Lei 1; Li, Xinwu 1; Gao, Xizhang 1; Guo, Huadong 1
刊名	JOURNAL OF APPLIED REMOTE SENSING
	2015
卷号	9 页码:5583-5599
关键词	polarimetric synthetic aperture radar synthetic aperture radar tomography distributed compressive sensing sparse representations
通讯作者	Gao, XZ (reprint author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11 Datun Rd, Beijing 100101, Peoples R China.
英文摘要	The three-dimensional (3-D) structure of forests, especially the vertical structure, is an important parameter of forest ecosystem modeling for monitoring ecological change. Synthetic aperture radar tomography (TomoSAR) provides scene reflectivity estimation of vegetation along elevation coordinates. Due to the advantages of super-resolution imaging and a small number of measurements, distribution compressive sensing (DCS) inversion techniques for polarimetric SAR tomography were successfully developed and applied. This paper addresses the 3-D imaging of forested areas based on the framework of DCS using fully polarimetric (FP) multi-baseline SAR interferometric (MB-InSAR) tomography at the P-band. A new DCS-based FP TomoSAR method is proposed: a new wavelet-based distributed compressive sensing FP TomoSAR method (FP-WDCS TomoSAR method). The method takes advantage of the joint sparsity between polarimetric channel signals in the wavelet domain to jointly inverse the reflectivity profiles in each channel. The method not only allows high accuracy and super-resolution imaging with a low number of acquisitions, but can also obtain the polarization information of the vertical structure of forested areas. The effectiveness of the techniques for polarimetric SAR tomography is demonstrated using FP P-band airborne datasets acquired by the ONERA SETHI airborne system over a test site in Paracou, French Guiana. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
研究领域[WOS]	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000365889400001
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38079]
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.[Liang, Lei 2.Li, Xinwu 3.Guo, Huadong] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 4.[Gao, Xizhang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Liang, Lei,Li, Xinwu,Gao, Xizhang,et al. Multibaseline polarimetric synthetic aperture radar tomography of forested areas using wavelet-based distribution compressive sensing[J]. JOURNAL OF APPLIED REMOTE SENSING,2015,9:5583-5599.
APA	Liang, Lei,Li, Xinwu,Gao, Xizhang,&Guo, Huadong.(2015).Multibaseline polarimetric synthetic aperture radar tomography of forested areas using wavelet-based distribution compressive sensing.JOURNAL OF APPLIED REMOTE SENSING,9,5583-5599.
MLA	Liang, Lei,et al."Multibaseline polarimetric synthetic aperture radar tomography of forested areas using wavelet-based distribution compressive sensing".JOURNAL OF APPLIED REMOTE SENSING 9(2015):5583-5599.