Compressive sensing for multibaseline polarimetric sar tomography of forested areas

	Compressive sensing for multibaseline polarimetric sar tomography of forested areas
	Li, Xinwu 1; Liang, Lei 1; Guo, Huadong 1; Huang, Yue 1
刊名	IEEE Transactions on Geoscience and Remote Sensing
	2016
卷号	54 期号:1 页码:153-166
关键词	NDVI TIME-SERIES MONITORING VEGETATION SURFACE REFLECTANCE BIDIRECTIONAL NDVI BRDF INVERSION MODIS RETRIEVAL PRODUCTS ALBEDO INDEX
通讯作者	Liang, Lei (ramboleong@126.com)
英文摘要	The structure of forests is an important indicator of ecosystem dynamics and enables the modeling and monitoring of ecological change. Synthetic aperture radar tomography (TomoSAR) provides scene reflectivity estimation of vegetation along elevation coordinates. Due to the advantages of superresolution imaging and a small number of measurements, compressive sensing (CS) inversion techniques for SAR tomography were successfully developed and applied. This paper addresses the 3-D imaging of forested areas based on the framework of CS using fully polarimetric (FP) multibaseline SAR interferometric (MB-InSAR) tomography at P-band. A new CS-based FP MB-InSAR tomography method is proposed: a sum of Kronecker product (SKP) decomposition-based CS FP MB-InSAR tomography method (FP-SKPCS TomoSAR method). The method, based on an assumption that the reflectivity signal of a single scattering mechanism (SM) is more sparse than that of a composite of SMs, recovers the reflectivity profile of different SMs by using the CS technique. This method not only allows superresolution imaging with a low number of acquisitions but also can estimate the polarimetric SM of the vertical structure of forested areas. The effectiveness of these novel techniques for polarimetric SAR tomography is demonstrated using FP P-band airborne data sets acquired by the ONERA SETHI airborne system over a test site in Paracou, French Guiana, and the results of the vertical structure of forested areas derived by the method are verified by in situ test data. © 1980-2012 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:20153001069566
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39181]
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 Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. University of Chinese, Academy of Sciences, Beijing, China 3. Intermap Technologies Corporation, Calgary 4.AB, Canada
推荐引用方式 GB/T 7714	Li, Xinwu,Liang, Lei,Guo, Huadong,et al. Compressive sensing for multibaseline polarimetric sar tomography of forested areas[J]. IEEE Transactions on Geoscience and Remote Sensing,2016,54(1):153-166.
APA	Li, Xinwu,Liang, Lei,Guo, Huadong,&Huang, Yue.(2016).Compressive sensing for multibaseline polarimetric sar tomography of forested areas.IEEE Transactions on Geoscience and Remote Sensing,54(1),153-166.
MLA	Li, Xinwu,et al."Compressive sensing for multibaseline polarimetric sar tomography of forested areas".IEEE Transactions on Geoscience and Remote Sensing 54.1(2016):153-166.