Paper
5 August 1997 Structural matching for nonmetric images
Younian Wang
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Younian Wang "Structural matching for nonmetric images", Proc. SPIE 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III, (5 August 1997); https://doi.org/10.1117/12.281066
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KEYWORDS
Photogrammetry

3D modeling

3D image processing

Computer vision technology

Data modeling

Digital photography

Feature extraction

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