Design for HMM-based SAR ATR

Dane P. Kottke; Paul D. Fiore; Kathy L. Brown; Jong-Kae Fwu

doi:10.1117/12.321857

15 September 1998 Design for HMM-based SAR ATR

Dane P. Kottke, Paul D. Fiore, Kathy L. Brown, Jong-Kae Fwu

Proceedings Volume 3370, Algorithms for Synthetic Aperture Radar Imagery V; (1998) https://doi.org/10.1117/12.321857
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

This paper describes progress on the Automatic Target Recognition (ATR) system for Synthetic Aperture Radar (SAR) imagery. The system is based upon a feature extraction, data ordering, and statistical modeling paradigm. Feature extraction is performed by applying image segmentation to convert the SAR imagery into one of four pixel classes. A description of a real-time image segmentation design is given. The segmented imagery is re-ordered from a 2D spatial representation to a sequential representation through the use of multiple Radon Transforms. Finally, the re-ordered data is classified by target type by applying Hidden Markov Model decoding techniques. Performance results on the MSTAR public targets database is provided.

Citation Download Citation

Dane P. Kottke, Paul D. Fiore, Kathy L. Brown, and Jong-Kae Fwu "Design for HMM-based SAR ATR", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); https://doi.org/10.1117/12.321857

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