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Proceedings Paper

Multi-Pass Multi-Resolution Image Interpretation
Author(s): Jon M. Barrilleaux; Mark F. Doherty
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Paper Abstract

Previous work in automatic photointerpretation has performed feature extraction and identification as one-pass sequential processes, at a single global level of detail. However, human photointerpreters perform these actions simultaneously while focusing on local areas of interest or uncertainty, at an appropriate level of detail. This paper describes our system for a piece-wise approximation to human-like photointerpretation, called Multi-Pass Multi-Resolution (MPR) image interpretation. MPR uses multiple passes to approximate simultaneity, and multiple resolutions together with recursive segmentation to achieve varying levels of local detail.

Paper Details

Date Published: 29 March 1989
PDF: 8 pages
Proc. SPIE 1076, Image Understanding and the Man-Machine Interface II, (29 March 1989); doi: 10.1117/12.952680
Show Author Affiliations
Jon M. Barrilleaux, Lockheed Palo Alto Research Laboratories (United States)
Mark F. Doherty, Lockheed Palo Alto Research Laboratories (United States)


Published in SPIE Proceedings Vol. 1076:
Image Understanding and the Man-Machine Interface II
Eamon B. Barrett; James J. Pearson, Editor(s)

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