Fusion of multispectral and panchromatic satellite images using the curvelet transform

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A useful technique in various applications of remote sensing involves the fusion of different types of satellite images, namely multispectral (MS) satellite images with a high spectral and low spatial resolution and panchromatic (Pan) satellite image with a low spectral and high spatial resolution. Recent studies show that wavelet-based image fusion provides high-quality spectral content in fused images. However, the results of most wavelet-based methods of image fusion have a spatial resolution that is less than that obtained via the Brovey, intensity-hue-saturation, and principal components analysis methods of image fusion. We introduce an improved method of image fusion which is based on the amelioration de la resolution spatiale par injection de structures (ARSIS) concept using the curvelet transform, because the curvelet transform represents edges better than wavelets. Because edges are fundamental in image representation, enhancing the edges is an effective means of enhancing spatial resolution. Curvelet-based image fusion has been used to merge a Landsat Enhanced Thematic Mapper Plus Pan and MS image. The proposed method simultaneously provides richer information in the spatial and spectral domains.
Publisher
IEEE-Inst Electrical Electronics Engineers Inc
Issue Date
2005-04
Language
English
Article Type
Article
Keywords

WAVELET DECOMPOSITION; ARSIS CONCEPT; IMPLEMENTATION; ENHANCEMENT; IHS

Citation

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v.2, no.2, pp.136 - 140

ISSN
1545-598X
DOI
10.1109/LGRS.2005.845313
URI
http://hdl.handle.net/10203/87708
Appears in Collection
MA-Journal Papers(저널논문)
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