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Proceedings Paper

New image-matching algorithm with self-diagnosis for remote sensing imagery
Author(s): Deren Li; Guo Zhang
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Paper Abstract

This paper proposes a new approach to image matching by epipolar constraint and local reliability constraint for Remote Sensing Image. We define a new measure of matching support according to the local reliability constraint. A new search strategy -- Self-Diagnosis is developed for robust image matching. This strategy only selects those matches having both high matching support and low matching ambiguity. The proposed algorithm has been tested and works remarkably well in remote sensing imagery stereo pairs.

Paper Details

Date Published: 13 February 2004
PDF: 8 pages
Proc. SPIE 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, (13 February 2004); doi: 10.1117/12.513701
Show Author Affiliations
Deren Li, Wuhan Univ. (China)
Guo Zhang, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 5239:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III
Manfred Ehlers; Hermann J. Kaufmann; Ulrich Michel, Editor(s)

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