Sparse multipass 3D SAR imaging: applications to the GOTCHA data set

Christian D. Austin; Emre Ertin; Randolph L. Moses

doi:10.1117/12.820323

28 April 2009 Sparse multipass 3D SAR imaging: applications to the GOTCHA data set

Christian D. Austin, Emre Ertin, Randolph L. Moses

Proceedings Volume 7337, Algorithms for Synthetic Aperture Radar Imagery XVI; 733703 (2009) https://doi.org/10.1117/12.820323
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Typically in SAR imaging, there is insufficient data to form well-resolved three-dimensional (3D) images using traditional Fourier image reconstruction; furthermore, scattering centers do not persist over wide-angles. In this work, we examine 3D non-coherent wide-angle imaging on the GOTCHA Air Force Research Laboratory (AFRL) data set; this data set consists of multipass complete circular aperture radar data from a scene at AFRL, with each pass varying in elevation as a result of aircraft flight dynamics . We compare two algorithms capable of forming well-resolved 3D images over this data set: regularized l_p least-squares inversion, and non-uniform multipass interferometric SAR (IFSAR).

Citation Download Citation

Christian D. Austin, Emre Ertin, and Randolph L. Moses "Sparse multipass 3D SAR imaging: applications to the GOTCHA data set", Proc. SPIE 7337, Algorithms for Synthetic Aperture Radar Imagery XVI, 733703 (28 April 2009); https://doi.org/10.1117/12.820323

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