Utilizing SAR imagery in three-dimensional neural radiance fields-based applications

J. R. Jamora; Dylan Green; Ander Talley; Thomas Curry

doi:10.1117/12.2656870

13 June 2023 Utilizing SAR imagery in three-dimensional neural radiance fields-based applications

J. R. Jamora, Dylan Green, Ander Talley, Thomas Curry

Proceedings Volume 12520, Algorithms for Synthetic Aperture Radar Imagery XXX; 1252002 (2023) https://doi.org/10.1117/12.2656870
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Neural Radiance Fields (NeRF) is an emerging technique in the three-dimensional (3D) volumetric representation world due to its ability to learn 3D scenes from sparse two-dimensional (2D) imagery. However, the current implementation focus on electro-optical (EO) representations due to NeRF assumptions with lighting traveling through the scene is absorbed, which is analogous to EO sensor operation. In this work we present a framework for utilizing synthetic aperture radar (SAR) imagery in standard NeRF implementations. Because the physical scattering properties in SAR imagery are markedly different from EO images, we adapt the EO-based transform inputs to equivalent SAR-based parameters. We demonstrate our results on a sample measured SAR dataset with two different 3D SAR reconstruction techniques and demonstrate isotropic scatterer extraction on our sample target. Keyword

Conference Presentation

Citation Download Citation

J. R. Jamora, Dylan Green, Ander Talley, and Thomas Curry "Utilizing SAR imagery in three-dimensional neural radiance fields-based applications", Proc. SPIE 12520, Algorithms for Synthetic Aperture Radar Imagery XXX, 1252002 (13 June 2023); https://doi.org/10.1117/12.2656870

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