Novel view synthesis with compressed sensing as data augmentation for SAR ATR

Katherine M. Banas; Tyler A. Hill; Chris Kreucher; Brian O. Raeker; Kyle Simpson; Kirk Weeks

doi:10.1117/12.2664250

13 June 2023 Novel view synthesis with compressed sensing as data augmentation for SAR ATR

Katherine M. Banas, Tyler A. Hill, Chris Kreucher, Brian O. Raeker, Kyle Simpson, Kirk Weeks

Proceedings Volume 12520, Algorithms for Synthetic Aperture Radar Imagery XXX; 125200H (2023) https://doi.org/10.1117/12.2664250
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

This work investigates the application of compressed sensing algorithms to the problem of novel view synthesis in synthetic aperture radar (SAR). We demonstrate the ability to generate new images of a SAR target from a sparse set of looks at said target, and we show that this can be used as a data augmentation technique for deep learning-based automatic target recognition (ATR). The newly synthesized views can be used both to enlarge the original, sparse training set, and in transfer learning as a source dataset for initial training of the network. The success of the approach is quantified by measuring ATR performance on the MSTAR dataset.

Conference Presentation

Citation Download Citation

Katherine M. Banas, Tyler A. Hill, Chris Kreucher, Brian O. Raeker, Kyle Simpson, and Kirk Weeks "Novel view synthesis with compressed sensing as data augmentation for SAR ATR", Proc. SPIE 12520, Algorithms for Synthetic Aperture Radar Imagery XXX, 125200H (13 June 2023); https://doi.org/10.1117/12.2664250

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