Abstract
This paper presents performance results for a new, fully polarimetric SAR ATR algorithm suite. The new algorithm suite is a modified version of the current Lincoln Laboratory baseline ATR algorithm suite. The detection (plus clustering) portion of the ATR system remains unchanged; however, the new ATR system uses a larger, optimized feature set for discrimination, and a multi- layered scheme for target classification. The new ATR system was found to provide improved performance over the baseline system when tested on a large data set of tactical targets (both bare and netted) and a large set of ground clutter (which contained numerous man-made objects).
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory J. Owirka and Leslie M. Novak "New SAR ATR algorithm suite", Proc. SPIE 2230, Algorithms for Synthetic Aperture Radar Imagery, (9 June 1994); https://doi.org/10.1117/12.177183
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Automatic target recognition

Detection and tracking algorithms

Target detection

Synthetic aperture radar

Classification systems

Fourier transforms

Fractal analysis

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