Automatic satellite image registration by combination of matching and random sample consensus

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In this letter, we propose a new algorithm for automated registration of satellite images. Here, registration means finding the relation between image coordinates and a reference coordinate system. The algorithm consists of two steps. The first one is the automated generation of control points. An automated matching based on normalized cross correlation will be used. We have improved the accuracy of matching by determining the size and shape of match windows according to incidence and scene orientation angles. The second one is the robust estimation of mapping functions from control points., We used the random sample consensus (RANSAC) algorithm for this step. We argue that it is the second step which gives the robustness of any automated registration algorithms. We carried out,experiments with SPOT images over three test sites. Through matching, a number of control points were generated. RANSAC wag applied to the control points. All outliers were correctly identified for all three test sites and mapping functions estimated without outliers. The accuracy I of estimation was comparable-to that of estimation with control points generated all by manual measurements. The results support that our algorithm. can be used for robust automated registration.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2003-05
Language
English
Article Type
Article
Keywords

ALGORITHM; TRACKING; MOTION; RANSAC

Citation

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v.41, no.5, pp.1111 - 1117

ISSN
0196-2892
DOI
10.1109/TGRS.2003.811994
URI
http://hdl.handle.net/10203/190087
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