气候变化领域集成服务门户(CCPortal): Reflection of and vision for the decomposition algorithm development and application in earth observation studies using PolSAR technique and data

CCPortal

DOI	10.1016/j.rse.2021.112498
	Reflection of and vision for the decomposition algorithm development and application in earth observation studies using PolSAR technique and data
	Duan D.; Wang Y.
发表日期	2021
ISSN	00344257
卷号	261
英文摘要	After reflecting on the past decomposition studies using the polarimetric synthetic aperture radar (PolSAR) technique and data in Earth observation (EO) studies, three primary issues are identified. Elements C12 and C32 of a covariance matrix, [C], are essential in the decomposition and cannot be ignored. Existing algorithms cannot adequately distinguish urban targets with large azimuth orientation angles from vegetation. The algorithms are complex in the formulation and procedure. To resolve the issues and envision future algorithm development, we have articulated three key modules. They are a separation factor to separate an azimuthally symmetric or asymmetric target, a diplane to model an asymmetric target in an urban area, and a procedure to derive an equivalent azimuth-orientation angle for the diplane. Then, a four-component decomposition algorithm was developed. The algorithm has been applied to multiple airborne and spaceborne PolSAR C- and L-band datasets covering areas in Canada, France, Morocco, and the USA. The primary radar target types included trihedral and dihedral corner reflectors (CRs), airport runway/taxiway, urban targets with azimuth-orientation angles ranging between 0° and 45°, ocean and inland water surfaces, city parks, grassland, forests, farmland, and desert. The separation factor delineates a symmetric or asymmetric target at a correct average rate of 92.7%. The diplane coupled with the derived equivalent azimuth-orientation angles correctly modeled radar backscatter from dihedral CRs and urban asymmetric targets. The algorithm delineated each type of ground target with an appropriate and dominant single, double, or volume scattering. Furthermore, the algorithm has four readily interpretable components, and its mathematical expression is not complicated. Therefore, the primary objectives to resolve the above three issues and to have an algorithm with well-balanced usability in EO studies and complexity in formulation and procedure are achieved. © 2021 Elsevier Inc.
英文关键词	An urban or a non-urban radar target; Azimuth orientation angles of azimuthally symmetric or asymmetric targets; Decomposition algorithm; Polarimetric SAR (PolSAR) technique and data
语种	英语
scopus关键词	Covariance matrix; Observatories; Separation; Synthetic aperture radar; Algorithms development; An urban or a non-urban radar target; Azimuth orientation; Azimuth orientation angle of azimuthally symmetric or asymmetric target; Decomposition algorithm; Earth observations; Orientation angles; Polarimetric SAR; Polarimetric SAR technique and data; Separation factors; Polarimeters
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178812
作者单位	School of Resources and Environment, University of Electronic Science and Technology of China, 2006 Xiyuan Avenue, West Hi-tech Zone, Chengdu, 611731, China; Department of Geography, Planning, and Environment, East Carolina University, Greenville, NC 27858, United States
推荐引用方式 GB/T 7714	Duan D.,Wang Y.. Reflection of and vision for the decomposition algorithm development and application in earth observation studies using PolSAR technique and data[J],2021,261.
APA	Duan D.,&Wang Y..(2021).Reflection of and vision for the decomposition algorithm development and application in earth observation studies using PolSAR technique and data.Remote Sensing of Environment,261.
MLA	Duan D.,et al."Reflection of and vision for the decomposition algorithm development and application in earth observation studies using PolSAR technique and data".Remote Sensing of Environment 261(2021).