A parallel fusion method of remote sensing image based on NSCT

A parallel fusion method of remote sensing image based on NSCT

Автор: Xue Xiaorong, Xiang Fang, Wang Hongfu

Журнал: Компьютерная оптика @computer-optics

Рубрика: Обработка изображений, распознавание образов

Статья в выпуске: 1 т.43, 2019 года.

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Remote sensing image fusion is very important for playing the advantages of a variety of remote sensing data. However, remote sensing image fusion is large in computing capacity and time consuming. In this paper, in order to fuse remote sensing images accurately and quickly, a parallel fusion algorithm of remote sensing image based on NSCT (nonsubsampled contourlet transform) is proposed. In the method, two important kinds of remote sensing image, multispectral image and panchromatic image are used, and the advantages of parallel computing in high performance computing and the advantages of NSCT in information processing are combined. In the method, based on parallel computing, some processes with large amount of calculation including IHS (Intensity, Hue, Saturation) transform, NSCT, inverse NSCT, inverse IHS transform, etc., are done. To realize the method, multispectral image is processed with IHS transform, and the three components, I, H, and S are gotten. The component I and the panchromatic image are decomposed with NSCT...

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Image fusion, remote sensing image, panchromatic image, multispectral image, nonsubsampled contourlet transform, ihs transform, parallel computing

Короткий адрес: https://sciup.org/140243260

IDR: 140243260   |   DOI: 10.18287/2412-6179-2019-43-1-123-131

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