DocumentCode :
2675146
Title :
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
Link To Document :
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