Paper
5 August 1997 Feature matching for automatic generation of distortionless digital orthophoto
Maxim Fradkin, Uzi Ethrog
Author Affiliations +
Abstract
The conventional method of automatic orthophoto generation, based on utilizing existing DTM, is essentially incapable of yielding distortionless rectification of the 3-D surface objects, especially in the case of large-scale man-built environments. Outlining the proposed alternative method of orthophoto generation, we concentrate on the incorporation of feature stereo matching technique, based on a multi-primitive hierarchical approach. First, feature hierarchy, consisting of line segments, parallel segments, vertices, edges, edge contours, and close polygons, is generated simultaneously in two images. This allows, by applying rigorous geometric constraints, to reduce significantly the number of generated spurious features, increasing therefore the efficiency and the reliability of the grouping process as well as those of the following matching procedure. A top-down matching algorithm, utilizing the maximal clique technique, propagates matching results through the hierarchy levels, employing various hierarchical and topological relationships established between the features.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maxim Fradkin and Uzi Ethrog "Feature matching for automatic generation of distortionless digital orthophoto", Proc. SPIE 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III, (5 August 1997); https://doi.org/10.1117/12.281038
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Image segmentation

Orthophoto maps

Binary data

Buildings

Bridges

Image processing

Reliability

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