Fusion of principal component of multispectral bands with PAN band using HIS and wavelet transform

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dc.contributor.authorChitwong, S.
dc.contributor.authorCheevasuvit, F.
dc.contributor.authorHomthong, J.
dc.date.accessioned2026-08-06T09:51:34Z
dc.date.available2026-08-06T09:51:34Z
dc.date.issued2002-01-01
dc.description.abstractSince RGB images derived from multispectral (TM) images will lose some information, in this paper we present the method to solve such 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.
dc.identifier.citationProceedings of SPIE the International Society for Optical Engineering, 4545, 130-136, 2002
dc.identifier.doi10.1117/12.453664
dc.identifier.issn0277786X
dc.identifier.other2-s2.0-0036395572
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/557
dc.sourceProceedings of SPIE the International Society for Optical Engineering
dc.subjectData fusion
dc.subjectHue-Intensity-Saturation transform
dc.subjectPrincipal Component Analysis
dc.subjectWavelet transform
dc.titleFusion of principal component of multispectral bands with PAN band using HIS and wavelet transform
dc.typeArticle

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