针对倾斜建筑物的四分量分解方法

经典的Freeman-Durden三分量分解模型存在着体散射能量过度估计的现象,这种现象易导致倾斜建筑物(即建筑物的排列方向与雷达飞行方向不平行)被错误解译为森林。虽然存在多种分解方法来避免倾斜建筑物的错误解译,但从非反射对称散射的角度来应对体散射能量过度估计目前研究仍较少。因此,提出一种新的四分量分解方法,可有效抑制体散射能量的过度估计,并有助于探测地面目标。文中首先提出一种新的非反射对称模型,结合Freeman-Durden三分量分解模型,发展一种新的四分量分解模型;然后通过非线性最小二乘算法来反演模型;最后,利用ALOS2/PALSAR2卫星全极化数据进行实验。实验结果表明,提出的四分量分解算法能有效地抑制倾斜建筑物区域体散射能量的过度估计,并具有准确探测地面目标物的潜力。

A modified four-component decomposition for oriented building areas

The main limitation of classic Freeman-Durden three-component decomposition is that the volume scattering is overestimated in oriented building areas,which easily leads to the oriented buildings being misinterpreted as forest.But different decomposition methods have been proposed to deal with this problem.There are fewer researches being cope with the problem by non-reflection symmetric model.In this paper,a modified four-component decomposition method is proposed which can effectively decrease the estimation of volume scattering and contribute to detect ground targets.First of all,a new non-reflection symmetric model is proposed.Combining with Freeman-Durden three-component decomposition,a modified four-component decomposition is proposed.The model is inverted with a nonlinear least square optimization algorithm.Finally,the PolSAR image acquired by ALOS2/PALSAR2 satellite is used to validate proposed method.The experimental result shows that the proposed method can effectively reduce the estimation of volume scattering over oriented building areas,and show its potential in detecting ground targets.