15 September 1998 Design for HMM-based SAR ATR
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dane P. Kottke, Paul D. Fiore, Kathy L. Brown, Jong-Kae Fwu, "Design for HMM-based SAR ATR", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); doi: 10.1117/12.321857; https://doi.org/10.1117/12.321857

Image segmentation

Synthetic aperture radar

Data modeling

Automatic target recognition

Feature extraction

Target recognition



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