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Coregistration of QuickBird Imagery and Digital Map Using a Modified ICP Algorithm  

Han, Dong-Yeob (Department of Civil and Environmental Engineering, Chonnam National University)
Eo, Yang-Dam (Department of Advanced Fusion Technology, Konkuk University)
Kim, Yong-Hyun (Satellite Data Application Department, Satellite Information Research Institute, KARI)
Lee, Kwang-Jae (Satellite Data Application Department, Satellite Information Research Institute, KARI)
Kim, Youn-Soo (Satellite Data Application Department, Satellite Information Research Institute, KARI)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.28, no.6, 2010 , pp. 621-626 More about this Journal
Abstract
For geometric correction of high-resolution images, the authors matched corresponding objects between a large-scale digital map and a QuickBird image to obtain the coefficients of the first order polynomial. Proximity corrections were performed, using the Boolean operation, to perform automated matching accurately. The modified iterative closest point (ICP) algorithm was used between the point data of the surface linear objects and the point data of the edge objects of the image to determine accurate transformation coefficients. As a result of the automated geometric correction for the study site, an accuracy of 1.207 root mean square error (RMSE) per pixel was obtained.
Keywords
Coregistration; RPC; proximity correction; ICP;
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