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Non-Linear least squares algorithm for detection of simple and double persistent scatterers

机译：非线性最小二乘算法，用于检测简单和双重持久性散射体

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Synthetic Aperture Radar (SAR) Tomography is a multi-temporal technique which can reconstruct the 3D profile of a scene. One of its main features consists in the ability to detect the presence of multiple Persistent Scatterers (PS) within the same resolution cell. This paper aims to investigate the super-resolution capabilities of SAR Tomography, by detecting targets situated at a distance which is close to Rayleigh resolution. Elevation positions of scatterers are determined with Capon estimation, which is characterized by higher side-lobs reduction. An adapted form of multi-looking is proposed for extraction of targets contribution from reconstructed reflectivity functions and for estimation of reflectivity power textures. An algorithm for detection of dominant and secondary PSs will be conducted based on the derived reflectivity estimates, trying to preserve the advantages of Capon filtering used for reflectivity reconstruction.
机译：合成孔径雷达（SAR）层析成像技术是一种多时相技术，可以重建场景的3D轮廓。它的主要功能之一在于能够检测同一分辨率像元中多个持久散射体（PS）的存在。本文旨在通过检测位于接近瑞利分辨率的距离的目标来研究SAR层析成像的超分辨率功能。散射体的高程位置由Capon估计确定，其特征在于较高的旁瓣减小。提出了一种自适应的多视形式，用于从重构的反射率函数中提取目标贡献，并估计反射率功率纹理。将基于导出的反射率估计值来执行检测主要和次要PS的算法，尝试保留用于反射率重建的Capon滤波的优点。

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