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Proceedings Paper

Representations of shape for structural inference in infrared scenes
Author(s): Aaron D. Lanterman; Michael I. Miller; Donald L. Snyder
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Paper 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.

Paper Details

Date Published: 23 June 1997
PDF: 12 pages
Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); doi: 10.1117/12.277113
Show Author Affiliations
Aaron D. Lanterman, Washington Univ. (United States)
Michael I. Miller, Washington Univ. (United States)
Donald L. Snyder, Washington Univ. (United States)


Published in SPIE Proceedings Vol. 3069:
Automatic Target Recognition VII
Firooz A. Sadjadi, Editor(s)

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