Representations of shape for structural inference in infrared scenes

Aaron D. Lanterman; Michael I. Miller; Donald L. Snyder

doi:10.1117/12.277113

23 June 1997 Representations of shape for structural inference in infrared scenes

Aaron D. Lanterman, Michael I. Miller, Donald L. Snyder

Proceedings Volume 3069, Automatic Target Recognition VII; (1997) https://doi.org/10.1117/12.277113
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

Infrared scenes are modeled as consisting of two kinds of targets: flexible 2-D models for simple shapes and rigid 3-D faceted models for detailed targets. The flexible models permit rapid saccadic detection of targets and accommodate 'clutter' objects not present in the target library. The rigid model library contains specific vehicles or other objects we wish to discriminate. A likelihood model based on sensor statistics is combined with a prior distribution on possible scenes to form a posterior distribution for Bayesian inference. Nuisance parameters associated with the radiant intensities of the background and object facets are adaptively estimated as the inference proceeds. A general metropolis- Hastings acceptance/rejection algorithm for sampling from the posterior distribution is proposed.

Citation Download Citation

Aaron D. Lanterman, Michael I. Miller, and Donald L. Snyder "Representations of shape for structural inference in infrared scenes", Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); https://doi.org/10.1117/12.277113

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