Interferometric synthetic aperture radar detection and estimation based 3D image reconstruction

Christian D. Austin; Randolph L. Moses

doi:10.1117/12.666345

17 May 2006 Interferometric synthetic aperture radar detection and estimation based 3D image reconstruction

Proceedings Volume 6237, Algorithms for Synthetic Aperture Radar Imagery XIII; 623707 (2006) https://doi.org/10.1117/12.666345
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

This paper explores three-dimensional (3D) interferometric synthetic aperture radar (IFSAR) image reconstruction when multiple scattering centers and noise are present in a radar resolution cell. We introduce an IFSAR scattering model that accounts for both multiple scattering centers and noise. The problem of 3D image reconstruction is then posed as a multiple hypothesis detection and estimation problem; resolution cells containing a single scattering center are detected and the 3D location of these cells' pixels are estimated; all other pixels are rejected from the image. Detection and estimation statistics are derived using the multiple scattering center IFSAR model. A 3D image reconstruction algorithm using these statistics is then presented, and its performance is evaluated for a 3D reconstruction of a backhoe from noisy IFSAR data.

Citation Download Citation

Christian D. Austin and Randolph L. Moses "Interferometric synthetic aperture radar detection and estimation based 3D image reconstruction", Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 623707 (17 May 2006); https://doi.org/10.1117/12.666345

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