Polarimetric SAR target decomposition method based on independent polarization orientation angle integration

doi:10.11947/j.AGCS.2023.20220552

Abstract

Abstract: The polarimetric decomposition method based on physical models has become one of the mainstream methods for PolSAR incoherent target decomposition due to its clear physical significance and ease of implementation. However, such methods often have the problem of volume scattering overestimation and scattering mechanism ambiguity in urban building areas with large orientation angle. Therefore, a six-component polarimetric target decomposition method based on independent polarization orientation angle integration is proposed in this paper. Instead of using the polarization orientation angle compensation strategy, three independent polarization orientation angles were introduced to describe the double-bounce scattering models, dipole scattering models and quarter-wave scattering models, and the generalized dipole scattering model, the generalized quarter-wave scattering model and the improved double-bounce scattering model were obtained. The surface scattering model and double-bounce scattering model are simplified, and the scattering components are decoupled effectively while the unknown variables are reduced. At the same time, the six scattering models fully explain the nine elements and make better use of the information of the polarization coherence matrix. The rotation invariance of the main diagonal elements of the polarization coherence matrix is analyzed, and the polarization orientation angles is avoided to participate in the calculation by using this property. At the same time, the calculation anomaly caused by division is avoided during the decomposition process, and the stability of the polarization decomposition results is ensured. GF-3 and UAV SAR full-polarization data were used for the experiment, the experiment result shows that thedecomposition method can effectively solve the overestimation of volume scattering of urban buildings, especially in large orientationangle building areas, while ensuring the correct extraction of dominant scattering power from forest vegetation and ocean areas, and the overall decomposition results are more consistent with the actual scattering process of the land covers.

Key words: polarimetric coherence matrix, polarimetric model-based decomposition, polarimetric scattering mechanism, overestimation of volume scattering, independent polarization orientation angle

CLC Number:

P234

LI Nengcai, HU Canbin, WANG Wei, QUAN Sinong, XIANG Deliang. Polarimetric SAR target decomposition method based on independent polarization orientation angle integration[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(12): 2141-2153.

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