Hypercomplex principle component weighted approach to multiplespectral and panchromatic images Fusions

Author

Yang, Huijuan ; Zhang, Jian Qiu ; Wang, Bin

Author_Institution

Fudan Univ., Shanghai

fYear

2007

fDate

23-28 July 2007

Firstpage

3096

Lastpage

3099

Abstract

In this paper, a hypercomplex principle component weighted approach to multiplespectral and panchromatic images fusions is presented. Since it takes the vectorial property of RGB components into account, there is not the distortion of visible spectrums in the images fused by the proposed method. The evaluation results from the various methods representing the state of the art ones also show that the fusion results of presented approach is better than those of IHS(hue-intensity-saturation), PCA (principle component analysis) and wavelet-based methods.

Keywords

geophysical techniques; image fusion; principal component analysis; hue-intensity-saturation; hypercomplex principle component weighted approach; multiplespectral image fusion; panchromatic image fusion; principle component analysis; wavelet based methods; Degradation; Image color analysis; Image fusion; Image resolution; Pixel; Principal component analysis; Quaternions; Singular value decomposition; Spatial resolution; Wavelet analysis; Hypercomplex; Hypercomplex Singular Value Decomposition (QSVD); Image fusion; PCA; Quaternion;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International

Conference_Location

Barcelona

Print_ISBN

978-1-4244-1211-2

Electronic_ISBN

978-1-4244-1212-9

Type

conf

DOI

10.1109/IGARSS.2007.4423499

Filename

4423499