论文标题
可区分的SAR渲染器和SAR目标重建
Differentiable SAR Renderer and SAR Target Reconstruction
论文作者
论文摘要
波散射和雷达成像机制的正向建模是从合成孔径雷达（SAR）图像中提取信息的关键。就像光学域中的逆图一样，对于SAR高级信息检索和目标重建，一种固有综合的前向内方法将是有希望的。本文为SAR图像的逆图提供了这样的尝试。开发了一个可区分的SAR渲染器（DSR），该渲染器（DSR）以可区分形式的概率图形式重新制定了SAR成像机制的映射和投影算法。然后，分析得出所提出的DSR的一阶梯度可以从渲染的图像/轮廓回到目标几何和散射属性。设计了来自SAR图像的3D逆目标重建算法。进行了几项模拟和重建实验，包括使用合成的数据或实现的逆向SAR（ISAR）数据，包括有或没有背景的目标。结果证明了拟议的DSR及其反向方法的功效。
Forward modeling of wave scattering and radar imaging mechanisms is the key to information extraction from synthetic aperture radar (SAR) images. Like inverse graphics in optical domain, an inherently-integrated forward-inverse approach would be promising for SAR advanced information retrieval and target reconstruction. This paper presents such an attempt to the inverse graphics for SAR imagery. A differentiable SAR renderer (DSR) is developed which reformulates the mapping and projection algorithm of SAR imaging mechanism in the differentiable form of probability maps. First-order gradients of the proposed DSR are then analytically derived which can be back-propagated from rendered image/silhouette to the target geometry and scattering attributes. A 3D inverse target reconstruction algorithm from SAR images is devised. Several simulation and reconstruction experiments are conducted, including targets with and without background, using both synthesized data or real measured inverse SAR (ISAR) data by ground radar. Results demonstrate the efficacy of the proposed DSR and its inverse approach.
