一种高分辨SAR层析成像方法

摘要

在城区建筑三维重建中,如何利用非均匀的少量观测数据,在保持方位向-距离向分辨率的同时实现高度向的高分辨成像是SAR层析面临的一个主要难题.在确定性点目标模型下,基于RELAX算法,提出了一种适用于城区建筑三维重建的SAR层析高分辨成像方法.与统计模型下的空间谱估计方法相比,该方法无需多视处理,能够保持方位向-距离向分辨率.与奇异值分解方法相比,该方法具有更优的高度向分辨能力.在仿真数据和Envisat-ASAR实测数据处理实验中,该方法的有效性得到了验证.%In the three-dimensional reconstruction of urban areas and man-made infrastructure, the urgent problem of SAR tomography is how to achieve satisfactory elevation resolution with a small number of non-uniform passes and preserve azimuth-range resolution simultaneously. An imaging method for SAR tomography based on RELAX algorithm is proposed in the framework of deterministic models. Compared with the spatial spectral estimation method that works statistically, this method does not need to deal with a spatial multilooking and maintains high resolution of direction dimension-distance dimension. Compared with the singular value decomposition method, this method has much better resolution of elevation dimension. Results obtained by processing simulated data and real data of ENV1SAT-ASAR verified the promising potentiality of this imaging method.