Unified generalized Bayesian accrual of evidence for robust ATR: new results

John R. Hoffman; Ronald P. S. Mahler; Ravi Prasanth; Melvyn Huff; Ravi B. Ravichandran; Raman K. Mehra; Stanton Musick

doi:10.1117/12.436940

16 August 2001 Unified generalized Bayesian accrual of evidence for robust ATR: new results

John R. Hoffman, Ronald P. S. Mahler, Ravi Prasanth, Melvyn Huff, Ravi B. Ravichandran, Raman K. Mehra, Stanton Musick

Proceedings Volume 4380, Signal Processing, Sensor Fusion, and Target Recognition X; (2001) https://doi.org/10.1117/12.436940
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

John R. Hoffman, Ronald P. S. Mahler, Ravi Prasanth, Melvyn Huff, Ravi B. Ravichandran, Raman K. Mehra, and 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); https://doi.org/10.1117/12.436940

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