Rigling Brian D, Moses Randolph L
Department of Electrical Engineering, Wright State University, Dayton, OH 45435-0001, USA.
IEEE Trans Image Process. 2005 Aug;14(8):1159-71. doi: 10.1109/tip.2005.851690.
This paper discusses reconstruction of three-dimensional surfaces from multiple bistatic synthetic aperture radar (SAR) images. Techniques for surface reconstruction from multiple monostatic SAR images already exist, including interferometric processing and stereo SAR. We generalize these methods to obtain algorithms for bistatic interferometric SAR and bistatic stereo SAR. We also propose a framework for predicting the performance of our multistatic stereo SAR algorithm, and, from this framework, we suggest a metric for use in planning strategic deployment of multistatic assets.
本文讨论了从多个双基地合成孔径雷达(SAR)图像重建三维表面的问题。从多个单基地SAR图像进行表面重建的技术已经存在,包括干涉测量处理和立体SAR。我们将这些方法进行推广,以获得双基地干涉SAR和双基地立体SAR的算法。我们还提出了一个框架来预测我们的多基地立体SAR算法的性能,并且基于这个框架,我们提出了一个用于规划多基地资产战略部署的度量标准。