Polarimetric SAR Decomposition by Incorporating a Rotated Dihedral Scattering Model
Wentao Han, Haiqiang Fu, Jianjun Zhu, Changcheng Wang, Qinghua Xie
Abstract
In this letter, we propose a new scattering model to describe the polarimetric scattering information of the real part of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$T_{23}$ </tex-math></inline-formula> in the coherency matrix. To achieve this goal, by combining the dihedral corner reflector scattering model and the polarimetric orientation angle (POA), a rotated dihedral scattering model is proposed. The proposed model is embedded into Singh’s six-component decomposition model, and we further develop a seven-component decomposition model. The proposed method was validated by polarimetric synthetic aperture radar (SAR) data sets acquired by the ALOS-2/PALSAR-2 and AIRSAR systems. The results show that, compared with the existing decomposition methods, the proposed method has a superior ability to distinguish oriented buildings from vegetation.