16 August 2001 Unified generalized Bayesian accrual of evidence for robust ATR: new results
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Abstract
We describe ongoing work in applying Finite Set Statistics (FISST) techniques to a Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) problem. It summarizes recent results in an ongoing project in which we are applying FISST filtering approaches to the problem of identifying ground targets from Synthetic Aperture Radar. The signatures for these targets are ambiguous because of extended operating conditions, that is the images have uncharacterizeable noise introduced in the form of mud, dents, etc. We propose a number of mechanisms for compensating for this noise.
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John R. Hoffman, Ronald P. S. Mahler, Ravi Prasanth, Melvyn Huff, Ravi B. Ravichandran, Raman K. Mehra, Stanton Musick, "Unified generalized Bayesian accrual of evidence for robust ATR: new results", Proc. SPIE 4380, Signal Processing, Sensor Fusion, and Target Recognition X, (16 August 2001); doi: 10.1117/12.436940; https://doi.org/10.1117/12.436940
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KEYWORDS
Automatic target recognition

Detection and tracking algorithms

Synthetic aperture radar

Error analysis

Estimation theory

Fuzzy logic

Algorithm development

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