SAR Shape from shading in suburban areas

G. D. Martino, A. D. Simone, A. Iodice, D. Riccio, G. Ruello
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Abstract

Shape-from-shading (SfS) techniques can be applied to synthetic aperture radar (SAR) images in order to obtain estimates of the slopes and, then, the elevation of the observed scene. Recently the authors proposed a new SfS technique for natural scenarios, based on the use of fractal surface models: problems can arise if non-natural features are present in the observed scene. In this paper, we evaluate the impact of manmade structures on the technique's performance: in particular, the SfS algorithm is applied on a SAR image in which a suburban environment is present. A deep analysis of the main issues is performed and possible solutions are presented and discussed.
郊区的遮阳SAR形状
形状-阴影(SfS)技术可以应用于合成孔径雷达(SAR)图像,以获得斜坡的估计,然后获得观测场景的高程。最近,作者提出了一种新的基于分形表面模型的自然场景的SfS技术:如果观察到的场景中存在非自然特征,就会出现问题。在本文中,我们评估了人造结构对该技术性能的影响:特别是,SfS算法应用于存在郊区环境的SAR图像。对主要问题进行了深入分析,并提出和讨论了可能的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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