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A model-free four component scattering power decomposition for polarimetric SAR data

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10.1109/JSTARS.2021.3069299
 
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hdl:2117/343111

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Dey, Subhadip
Bhattacharya, Avik
Frery, Alejandro C.
López Martínez, CarlosMés informacióMés informacióMés informació
Rao, Yalamanchili S.
Document typeArticle
Defense date2021-03-29
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
Attribution 4.0 International
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution 4.0 International
Abstract
Target decomposition methods of polarimetric Synthetic Aperture Radar (PolSAR) data explain scattering information from a target. In this regard, several conventional model-based methods utilize scattering power components to analyze polarimetric SAR data. However, the typical hierarchical process to enumerate power components uses various branching conditions, leading to several limitations. These techniques assume \textit{ad hoc} scattering models within a radar resolution cell. Therefore, the use of several models makes the computation of scattering powers ambiguous. Some common issues of model-based decompositions are related to the compensation of the orientation angle about the radar line of sight and the negative power components' occurrence. We propose a model-free four-component scattering power decomposition that alleviates these issues. In the proposed approach, we use the non-conventional 3D Barakat degree of polarization to obtain the scattered electromagnetic wave's polarization state. The degree of polarization is used to obtain the even-bounce, odd-bounce, and diffused scattering power components. Along with this, a measure of target scattering asymmetry is also proposed, which is then suitably utilized to obtain the helicity power. All the power components are roll-invariant, non-negative and unambiguous. In addition to this, we propose an unsupervised clustering technique that preserves the dominance of the scattering power components for different targets. This clustering technique assists in understanding the importance of diverse scattering mechanisms based on target characteristics. The technique adequately captures the clusters' variations from one target to another according to their physical and geometrical properties.
CitationDey, S. [et al.]. A model-free four component scattering power decomposition for polarimetric SAR data. "IEEE journal of selected topics in applied earth observations and remote sensing", 29 Març 2021, vol. 14, p. 3887-3902. 
URIhttp://hdl.handle.net/2117/343111
DOI10.1109/JSTARS.2021.3069299
ISSN1939-1404
Publisher versionhttps://ieeexplore.ieee.org/document/9388861
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