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Acta Geodaetica et Cartographica Sinica. 2014, (07) Core

Progressive SIFT Matching Algorithm for Multi-source Optical Satellite ImagesChinese Full Text

DAI Jiguang;SONG Weidong;LI Yu;School of Geomatics,Liaoning Technical University;

Abstract: Considering the low matching rate of SIFT for multi-source optical satellite images,based on SIFT matching method,initial controlling points constrained by the relative scale and main orientation of SIFT features are extracted in this paper.Then,Delaunay triangulation is built by initial matching points.Local geometrical constraint model is built through point spreading.Finally,on the basis of the main orientation of features,minimum Euclidean distance criterion and local RANSAC algorithm,the matching of multi-source optical satellite images is progressively achieved with high accuracy.Compared with other matching algorithms,in the case of large scale and rotate images,the proposed algorithm has significant advantages in terms of matching amount and precision.
Keywords：

progressive; multi-source; SIFT; matching; point spreading;

  • DOI：

    10.13485/j.cnki.11-2089.2014.00

  • Series：

  • Subject：

  • Classification Code：

    TP391.41

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