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A type of polarimetric parameter for evaluating the reliability of model-based decomposition result and its application

Authors :
Wentao Han
Haiqiang Fu
Jianjun Zhu
Qinghua Xie
Source :
International Journal of Digital Earth, Vol 16, Iss 1, Pp 2111-2128 (2023)
Publication Year :
2023
Publisher :
Taylor & Francis Group, 2023.

Abstract

The reliability of the model-based decomposition result, which is seldom investigated, is a key factor in determining whether decomposition parameters can be effectively applied to polarimetric synthetic aperture radar (PolSAR) applications. In this paper, a type of polarimetric parameter for evaluating the reliability of model-based decomposition result is proposed. It originates from the degree of correlation between the scattering models. The main idea is whether the measured power can be assigned to the corresponding scattering model. The more the measured power that can be allocated to the corresponding scattering model, the more reliable the decomposition result. The C-band Radarsat-2, L-band UAVSAR, X-band TerraSAR-X, and L-band E-SAR PolSAR data are selected for experiments. The results show that the type of polarimetric parameter can effectively represent the reliability of the decomposition result. The reliabilities of surface and double-bounce scattering are high in the ocean and orthogonal buildings, respectively. For oriented buildings, the reliability of the decomposition result is lower owing to the overestimation of volume scattering. For forested areas, reliability is generally higher if volume scattering is not overestimated. Furthermore, the results show that the reliability of soil moisture retrieval is positively correlated with surface scattering reliability.

Details

Language :
English
ISSN :
17538947 and 17538955
Volume :
16
Issue :
1
Database :
Directory of Open Access Journals
Journal :
International Journal of Digital Earth
Publication Type :
Academic Journal
Accession number :
edsdoj.b9eab9c1f78d41aa8c45947cede52d04
Document Type :
article
Full Text :
https://doi.org/10.1080/17538947.2023.2220618