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http://dx.doi.org/10.7319/kogsis.2012.20.3.041

Automatic Estimation of Geometric Translations Between High-resolution Optical and SAR Images  

Han, You Kyung (서울대학교 건설환경공학부)
Byun, Young Gi (한국항공우주연구원 위성정보 연구센터)
Kim, Yong Il (서울대학교 건설환경공학부)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.20, no.3, 2012 , pp. 41-48 More about this Journal
Abstract
Using multi-sensor or multi-temporal high resolution satellite images together is essential for efficient applications in remote sensing area. The purpose of this paper is to estimate geometric difference of translations between high-resolution optical and SAR images automatically. The geometric and radiometric pre-processing steps were fulfilled to calculate the similarity between optical and SAR images by using Mutual Information method. The coarsest-level pyramid images of each sensor constructed by gaussian pyramid method were generated to estimate the initial translation difference of the x, y directions for calculation efficiency. The precise geometric difference of translations was able to be estimated by applying this method from coarsest-level pyramid image to original image in order. Yet even when considered only translation between optical and SAR images, the proposed method showed RMSE lower than 5m in all study sites.
Keywords
Image-to-image registration; High-resolution multi-sensor images; Mutual Information; Optimization method;
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Times Cited By KSCI : 2  (Citation Analysis)
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