Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- Volume 2
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- Pages.594-597
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- 2006
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- 1226-9743(pISSN)
A NEW LANDSAT IMAGE CO-REGISTRATION AND OUTLIER REMOVAL TECHNIQUES
- Kim, Jong-Hong (School of Civil and Environmental Engineering, Yonsei University) ;
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Heo, Joon
(School of Civil and Environmental Engineering, Yonsei University) ;
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Sohn, Hong-Gyoo
(School of Civil and Environmental Engineering, Yonsei University)
- Published : 2006.11.02
Abstract
Image co-registration is the process of overlaying two images of the same scene. One of which is a reference image, while the other (sensed image) is geometrically transformed to the one. Numerous methods were developed for the automated image co-registration and it is known as a time-consuming and/or computation-intensive procedure. In order to improve efficiency and effectiveness of the co-registration of satellite imagery, this paper proposes a pre-qualified area matching, which is composed of feature extraction with Laplacian filter and area matching algorithm using correlation coefficient. Moreover, to improve the accuracy of co-registration, the outliers in the initial matching point should be removed. For this, two outlier detection techniques of studentized residual and modified RANSAC algorithm are used in this study. Three pairs of Landsat images were used for performance test, and the results were compared and evaluated in terms of robustness and efficiency.