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http://dx.doi.org/10.7780/kjrs.2011.27.2.141

Registration between High-resolution Optical and SAR Images Using linear Features  

Han, You-Kyung (Department of Civil and Environmental Engineering, Seoul National University)
Kim, Duk-Jin (School of Earth and Environmental Sciences, Seoul National University)
Kim, Yong-Il (Department of Civil and Environmental Engineering, Seoul National University)
Publication Information
Korean Journal of Remote Sensing / v.27, no.2, 2011 , pp. 141-150 More about this Journal
Abstract
Precise image-to-image registration is required to process multi-sensor data together. The purpose of this paper is to develop an algorithm that register between high-resolution optical and SAR images using linear features. As a pre-processing step, initial alignment was fulfilled using manually selected tie points to remove any dislocations caused by scale difference, rotation, and translation of images. Canny edge operator was applied to both images to extract linear features. These features were used to design a cost function that finds matching points based on their similarity. Outliers having larger geometric differences than general matching points were eliminated. The remaining points were used to construct a new transformation model, which was combined the piecewise linear function with the global affine transformation, and applied to increase the accuracy of geometric correction.
Keywords
AIRSAR; IKONOS; linear feature; multi-sensor image registration; piecewise linear function;
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