SCATTERING MECHANISM MODELS IN POLARIMETRIC SAR: A BRIEF REVIEW
DOI:
https://doi.org/10.53555/ephijse.v11i1.290Keywords:
PolSAR, Scattering, Decomposition, Urban, ForestAbstract
Polarimetric Synthetic Aperture Radar (PolSAR) has emerged as a powerful tool in remote sensing due to its ability to capture detailed scattering information under all-weather, day-and-night conditions. Understanding scattering mechanisms is essential for accurate interpretation of PolSAR data across various applications, including urban area classification, forest canopy analysis, and environmental monitoring. This review provides a comprehensive overview of key scattering mechanism models, focusing on the Freeman-Durden Three-Component Model, Cloude-Pottier Decomposition, and Yamaguchi Four-Component Model. Each model’s theoretical basis, strengths, limitations, and real-world applications are critically discussed. The review highlights common challenges such as ambiguity in oriented urban structures and volume scattering overestimation. Furthermore, the potential of integrating advanced computational techniques, including artificial intelligence (AI) and machine learning (ML), to improve model robustness is emphasized. This work aims to serve as a foundational reference for future research on enhancing scattering mechanism models in PolSAR data analysis.
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