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