Information-Theoretic

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Information-Theoretic ImagingJ. A. O’Sullivan. CMU Seminar, 03/13/2002Motivation• Many reported approaches to ATR from SAR• Performance and database complexity are interrelated• We seek to provide a framework for comparison that:- Allows direct comparison under identical conditions- Removes dependency on implementation details2S1T62 BTR 60D7 ZIL 131 ZSU 23/4Publicly available SAR data from the MSTAR program48
Information-Theoretic ImagingJ. A. O’Sullivan. CMU Seminar, 03/13/2002Approaches: Conditionally GaussianModel each pixel as complex Gaussian plus uncorrelated noise:ri 1Ki, aN0p r , a eR ,A i Ki , a N02GLRT Classification and MAP Estimation:â Bayes r argmaxamaxkˆp r k ,aˆ r,a argmaxHSˆp r ,a k kJ. A. O’Sullivan Oand S. Jacobs, IEEE-AES 2000J. A. O’Sullivan, OM. D. DeVore, , V. Kedia, , and M. Miller, IEEE-AES to appear 200049
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Information-Theoretic

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