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Proceedings Paper

Structural matching for nonmetric images
Author(s): Younian Wang
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Paper Abstract

Image matching is a basic issue in computer vision and in digital photogrammetry. For non-metric images the area based and the feature based matching methods are not so suitable as for aerial images, because there is usually no initial values available. In this paper a structure based image matching method is introduced, which can recognize the corresponding image objects fully automatically without knowing any a priori information and without having any relation assumptions about the digital image. Some examples for the application of this matching method to the non-metric images in close range photogrammetry and to the SPOT and MOMS remote sensed images are demonstrated. The results show that the highest automation level of image matching have been reached with the developed method.

Paper Details

Date Published: 5 August 1997
PDF: 10 pages
Proc. SPIE 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III, (5 August 1997); doi: 10.1117/12.281066
Show Author Affiliations
Younian Wang, Univ. of Hannover (Germany)

Published in SPIE Proceedings Vol. 3072:
Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III
David M. McKeown Jr.; J. Chris McGlone; Olivier Jamet, Editor(s)

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