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Proceedings Paper

Model-based feature extraction
Author(s): Walter J. Mueller; James A. Olson
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Paper Abstract

Digital image exploitation often requires the extraction of objects for inclusion in a product. Mapping, site modeling, and perspective scene generation all use the results of object extraction. Although one would reasonably expect a considerable amount of self-consistency in the extracted objects, the results of manual or automatic delineation may not conform to the expectations of product consumers and maintain appropriate links between lower-level object components that are individually extracted. Applying object geometry through the photogrammetric modeling of an image can greatly enhance the exploitation analyst's capacity to produce results that meet consumer's expectations of high fidelity and that produce consistent object descriptions for computer manipulation. This improves both the productivity of delineation beyond manual techniques and the reliability of delineation beyond the currently available, fully-automated techniques such as Automatic Target Recognition (ATR).

Paper Details

Date Published: 24 September 1993
PDF: 10 pages
Proc. SPIE 1944, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision, (24 September 1993); doi: 10.1117/12.155811
Show Author Affiliations
Walter J. Mueller, GDE Systems, Inc. (United States)
James A. Olson, GDE Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 1944:
Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision
Eamon B. Barrett; David M. McKeown, Editor(s)

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