New image-matching algorithm with self-diagnosis for remote sensing imagery

Deren Li; Guo Zhang

doi:10.1117/12.513701

13 February 2004 New image-matching algorithm with self-diagnosis for remote sensing imagery

Deren Li, Guo Zhang

Proceedings Volume 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III; (2004) https://doi.org/10.1117/12.513701
Event: Remote Sensing, 2003, Barcelona, Spain

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.

Citation Download Citation

Deren Li and Guo Zhang "New image-matching algorithm with self-diagnosis for remote sensing imagery", Proc. SPIE 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, (13 February 2004); https://doi.org/10.1117/12.513701

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