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http://dx.doi.org/10.7848/ksgpc.2013.31.2.165

Mosaic image generation of AISA Eagle hyperspectral sensor using SIFT method  

Han, You Kyung (서울대학교 건설환경공학부)
Kim, Yong Il (서울대학교 건설환경공학부)
Han, Dong Yeob (전남대학교 해양토목공학과)
Choi, Jae Wan (충북대학교 토목공학부)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.31, no.2, 2013 , pp. 165-172 More about this Journal
Abstract
In this paper, high-quality mosaic image is generated by high-resolution hyperspectral strip images using scale-invariant feature transform (SIFT) algorithm, which is one of the representative image matching methods. The experiments are applied to AISA Eagle images geo-referenced by using GPS/INS information acquired when it was taken on flight. The matching points between three strips of hyperspectral images are extracted using SIFT method, and the transformation models between images are constructed from the points. Mosaic image is, then, generated using the transformation models constructed from corresponding images. Optimal band appropriate for the matching point extraction is determined by selecting representative bands of hyperspectral data and analyzing the matched results based on each band. Mosaic image generated by proposed method is visually compared with the mosaic image generated from initial geo-referenced AISA hyperspectral images. From the comparison, we could estimate geometrical accuracy of generated mosaic image and analyze the efficiency of our methodology.
Keywords
High-resolution hyper-spectral image; Band selection; SIFT; Mosaic image generation;
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Times Cited By KSCI : 1  (Citation Analysis)
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