15 September 1998 Moving and stationary target acquisition and recognition (MSTAR) model-based automatic target recognition: search technology for a robust ATR
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Abstract
DARPA/Air Force Research Laboratory Moving and Stationary Target Acquisition and Recognition (MSTAR) program is developing state-of-the-art model based vision approach to Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). The model-based approach requires using off-line developed target models in an on-line hypothesize-and-test manner to compare predicted target signatures with image data and output target reports. Central to this model-based ATR is the PEMS (Predict-Extract-Match-Search) subsystem. The Search module is critical to PEMS by providing intelligent control to traverse the hypothesis feature space. A major MSTAR goal is to demonstrate robust ATR for variations in targets including partially hidden targets. This paper will provide an update on the technology being developed under MSTAR and the status of this model based ATR research, specifically concentrating on the Search Module.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph R. Diemunsch, John Wissinger, "Moving and stationary target acquisition and recognition (MSTAR) model-based automatic target recognition: search technology for a robust ATR", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); doi: 10.1117/12.321851; https://doi.org/10.1117/12.321851
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KEYWORDS
Automatic target recognition

Data modeling

Model-based design

Synthetic aperture radar

Target recognition

3D modeling

Target acquisition

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