An Improved General Five-Component Scattering Power Decomposition Method
The coherency matrix serves as a valuable tool for explaining the intricate details of various terrain targets. However, a significant challenge arises when analyzing ground targets with similar scattering characteristics in polarimetric synthetic aperture radar (PolSAR) target decomposition. Specifically, the overestimation of volume scattering (OVS) introduces ambiguity in characterizing the scattering mechanism and uncertainty in deciphering the scattering mechanism of large oriented built-up areas. To address these challenges, based on the generalized five-component decomposition (G5U), we propose a hierarchical extension of the G5U method, termed ExG5U, which incorporates orientation and phase angles into the matrix rotation process. The resulting transformed coherency matrices are then subjected to a five-component decomposition framework, enhanced with four refined volume scattering models. Additionally, we have reformulated the branch conditions to facilitate more precise interpretations of scattering mechanisms. To validate the efficacy of the proposed method, we have conducted comprehensive evaluations using diverse PolSAR datasets from Gaofen-3, Radarsat-2, and ESAR, covering varying data acquisition timelines, sites, and frequency bands. The findings indicate that the ExG5U method proficiently captures the scattering characteristics of ambiguous regions and shows promising potential in mitigating OVS, ultimately facilitating a more accurate portrayal of scattering mechanisms of various terrain types.
Authors
- Chunle Wang (ORCID: https://orcid.org/0009-0004-2612-3364)
- Daqing Ge (ORCID: https://orcid.org/0009-0005-2779-8854)
- Weidong Yu (ORCID: https://orcid.org/0000-0002-7803-6084)
- Bin Liu (ORCID: https://orcid.org/0000-0001-6276-9788)
- Yu Wang (ORCID: https://orcid.org/0000-0003-1718-7310)
Institutions
- Chinese Academy of Sciences (CN)
- China Geological Survey (CN)
- Aerospace Information Research Institute (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-07-24
- DOI
- https://doi.org/10.3390/rs17152583
- Primary Topic
- Electromagnetic Compatibility and Noise Suppression
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China