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• W2076804547 abstract "In this paper, we propose an automatic and accurate image registration method for the high resolution. Due to the strongdistortion caused by the terrain relief in this kind of images, it cannot be resolved by one set of transformationcoefficients for the whole image. So the method mainly consists of two parts: one part is the dense feature pointmatching, and the other is the faced based differential registration. The matching algorithm integrates the feature pointmatching, relaxation optimization technique, the Least Square Matching, the coarse-to-fine strategy, and it can providehundreds of thousands of reliable and accurate control points. With the TIN, these points divide the image into a lot ofsmall triangles. For each triangle, we can assume the local distortion is simple and can be depicted by the affinetransformation function. Finally, faced based differential registration is performed to resample the slave image.Experiments have been carried out and satisfactory results have been obtained." @default.
• W2076804547 created "2016-06-24" @default.
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• W2076804547 date "2008-10-31" @default.
• W2076804547 modified "2023-09-22" @default.
• W2076804547 title "A robust registration method for high resolution remote sensing images" @default.
• W2076804547 doi "https://doi.org/10.1117/12.813235" @default.
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