An Improved Three-Component Decomposition Method for $\pi$/4 Mode Compact PolInSAR Using Refined Volume Scattering Models

In this paper, an improved three-component decomposition method for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\pi /4$</tex-math></inline-formula> compact Polarimetric synthetic Aperture Radar Interferometry (PolInSAR) is proposed to interpret the scattering mechanisms of various terrain types. In the proposed method, refined volume scattering models proposed in fully polarimetric SAR is applied to the compact SAR system through certain transformation relations, which can be used to interpret the scattering mechanisms of various land covers. Meanwhile, compact polarimetric interferometric similarity parameter (C-PISP) is proposed. This parameter is used to modify the refined volume scattering models, which can overcome the overestimation of volume scattering (OVS) due to the large angle between the building and the radar line-of-sight (LOS) direction. In addition, extractors for building and non-building regions are proposed, which can be used for adaptive selection of the volume scattering models. The performance of the proposed method is demonstrated and evaluated using C-band and L-band airborne PolInSAR data acquired at different study sites, and the fully PolInSAR data are converted to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\pi /4$</tex-math></inline-formula> compact PolInSAR data. The experimental results show that the proposed method can be used to reasonably interpret the scattering mechanism of various terrain types (especially the built-up areas with large orientation angles) and overcome the OVS problem, which is an important supplement to the target decomposition method of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\pi /4$</tex-math></inline-formula> compact PolInSAR.

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Publication Details

Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/jstars.2025.3585114
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

An Improved Three-Component Decomposition Method for $\pi$/4 Mode Compact PolInSAR Using Refined Volume Scattering Models

Ling Zhang, Chunle Wang, Daqing Ge, Weidong Yu et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Underwater Vehicles and Communication Systems
article

An Improved Three-Component Decomposition Method for $\pi$/4 Mode Compact PolInSAR Using Refined Volume Scattering Models

Ling Zhang, Chunle Wang, Daqing Ge, Weidong Yu, Bin Liu, Yu Wang, Man Li
article en

Abstract

In this paper, an improved three-component decomposition method for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\pi /4$</tex-math></inline-formula> compact Polarimetric synthetic Aperture Radar Interferometry (PolInSAR) is proposed to interpret the scattering mechanisms of various terrain types. In the proposed method, refined volume scattering models proposed in fully polarimetric SAR is applied to the compact SAR system through certain transformation relations, which can be used to interpret the scattering mechanisms of various land covers. Meanwhile, compact polarimetric interferometric similarity parameter (C-PISP) is proposed. This parameter is used to modify the refined volume scattering models, which can overcome the overestimation of volume scattering (OVS) due to the large angle between the building and the radar line-of-sight (LOS) direction. In addition, extractors for building and non-building regions are proposed, which can be used for adaptive selection of the volume scattering models. The performance of the proposed method is demonstrated and evaluated using C-band and L-band airborne PolInSAR data acquired at different study sites, and the fully PolInSAR data are converted to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\pi /4$</tex-math></inline-formula> compact PolInSAR data. The experimental results show that the proposed method can be used to reasonably interpret the scattering mechanism of various terrain types (especially the built-up areas with large orientation angles) and overcome the OVS problem, which is an important supplement to the target decomposition method of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\pi /4$</tex-math></inline-formula> compact PolInSAR.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVol. 18
Chinese Academy of Sciences (CN), China Geological Survey (CN), Aerospace Information Research Institute (CN)
Openalex Percentile: Top 81%
Underwater Vehicles and Communication Systems
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