Three-dimensional object reconstruction from sparse multi-pass SAR data

Theresa Scarnati; J. R. Jamora

doi:10.1117/12.2593601

12 April 2021 Three-dimensional object reconstruction from sparse multi-pass SAR data

Theresa Scarnati, J. R. Jamora

Author Affiliations +

Proceedings Volume 11728, Algorithms for Synthetic Aperture Radar Imagery XXVIII; 117280I (2021) https://doi.org/10.1117/12.2593601
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

As humans, we perceive the world in three dimensions. However, many militarily relevant sensing capabilities only display two-dimensional information to users in the form of imagery. In this work we develop and analyze a technique for reconstructing objects in three dimensions given sparse amounts of synthetic aperture radar (SAR) data. We analyze the required sampling rates of the proposed techniques and conduct a thorough analysis of the accuracy of our methods.

Conference Presentation

Citation Download Citation

Theresa Scarnati and J. R. Jamora "Three-dimensional object reconstruction from sparse multi-pass SAR data", Proc. SPIE 11728, Algorithms for Synthetic Aperture Radar Imagery XXVIII, 117280I (12 April 2021); https://doi.org/10.1117/12.2593601

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