NDLI: Decomposition methods for the estimation of bare soil surface parameters using fully polarimetric SAR data 1

Content Provider	IEEE Xplore Digital Library
Author	Weilin Yuan Qiming Qin Shihong Du Xinyi Shen Hongbo Jiang Yan Ma Shixiong Liu
Copyright Year	2010
Description	Author affiliation: Institution of Remote Sensing and GIS, Peking University, Beijing 100871, China (Weilin Yuan; Qiming Qin; Shihong Du; Xinyi Shen; Hongbo Jiang; Yan Ma; Shixiong Liu)
Abstract	This study wants to demonstrate that two different polarimetric target decomposition methods can improve SAR data accuracy for estimating the parameters of bare soil surface. To achieve this goal, two experiments are conducted: (1) both Freeman and Cloude decomposition methods are performed on JPL/AIRSAR L-band fully polarimetric data; and (2) Advanced Integral Equation Model (AIEM) is used to simulate backscatting coefficients. The root mean square errors (RMSEs) of $σ^{0}hh,$ $σ^{0}vv$ between original data and AIEM simulated data are 1.96 and 1.25 dB. However, if Cloude method is used to decompose original data, the RMSEs will be reduced to 1.45 and 1.14dB, respectively; for Freeman method, the RMSEs are 1.64 and 1.35 dB. Therefore, polarimetric target decomposition compensation, especially Cloude method, can help to improve the accuracy of SAR data for estimating the parameters of bare soil surface.
Starting Page	1273
Ending Page	1276
File Size	243134
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5653057
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scattering Mathematical model Soil Surface roughness Rough surfaces Remote sensing Microwave filters Advanced Integral Equation Model (AIEM) Bare soil surface parameters Polarimetric target decomposition Synthetic Aperture Radar (SAR)
Content Type	Text
Resource Type	Article

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