Paper
29 March 1989 Multi-Pass Multi-Resolution Image Interpretation
Jon M. Barrilleaux, Mark F. Doherty
Author Affiliations +
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jon M. Barrilleaux and Mark F. Doherty "Multi-Pass Multi-Resolution Image Interpretation", Proc. SPIE 1076, Image Understanding and the Man-Machine Interface II, (29 March 1989); https://doi.org/10.1117/12.952680
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Image quality

Roads

Classification systems

Image processing

Image resolution

Image classification

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