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Proceedings Paper

Fusion of principal component of multispectral bands with PAN band using HIS and wavelet transform
Author(s): Sakreya Chitwong; Fusak Cheevasuvit; J. Homthong
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Paper Abstract

Since RGB images derived from multispectral (TM) images will lose some information, in this paper we present the method to solve such a problem by using principal component analysis (PCA) which transforms TM images into the principal component images (PCs), while the high resolution PAN data is decomposed by wavelet transform. Thus, RGB images are assigned by the first three principal component images which normally have approximately 95% of the information in the original images. The intensity image from RGB to HIS transformation is replaced by the lower frequency coefficient of wavelet transform of PAN data corresponding to multispectral images. HIS to RGB transformation is then applied. The fused RGB image using our method can obtain more details.

Paper Details

Date Published: 23 January 2002
PDF: 7 pages
Proc. SPIE 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, (23 January 2002); doi: 10.1117/12.453664
Show Author Affiliations
Sakreya Chitwong, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Fusak Cheevasuvit, King Mongkut's Institute of Technology Ladkrabang (Thailand)
J. Homthong, King Mongkut's Institute of Technology Ladkrabang (Thailand)


Published in SPIE Proceedings Vol. 4545:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology
Manfred Ehlers, Editor(s)

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