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Automatic Target Recognition on Synthetic Aperture Radar Imagery A Survey

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Document pages: 20 pages

Abstract: Automatic Target Recognition (ATR) for military applications is one of thecore processes towards enhancing intelligencer and autonomously operatingmilitary platforms. Spurred by this and given that Synthetic Aperture Radar(SAR) presents several advantages over its counterpart data domains, this papersurveys and assesses current SAR ATR architectures that employ the most populardataset for the SAR domain, namely the Moving and Stationary Target Acquisitionand Recognition (MSTAR) dataset. Based on the current methodology trends, wepropose a taxonomy for the SAR ATR architectures, along with a directcomparison of the strengths and weaknesses of each method under both standardand extended operational conditions. Additionally, despite MSTAR being thestandard SAR ATR benchmarking dataset we also highlight its weaknesses andsuggest future research directions.

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