Title :
A New Remote Sensing Image Fusion Method-PWI Transformation
Author :
Xia Chun-lin ; Deng Jie
Author_Institution :
Sch. of Geomatics, Liaoning Tech. Univ., Fuxin, China
Abstract :
Based on the detailed analysis of PCA transform, WT transform and IHS transform, a new fusion method was presented-PWI transformation: First, multispectral image was transformed by HIS, and then the obtained brightness component-I was transformed by PCA to extract the first principal component- PC1. Using wavelet transform, the PC1 and panchromatic images were fused, and then the results were used to replace the brightness components of the multispectral image. Finally the new multispectral image was got by the inverse IHS transformation. Subjective visual effect analysis and objective evaluation indicate that the new method was superior to the single one of three fusion methods of HIS, the wavelet transform and PCA, enhanced the representability of image spatial detail largely, and well reserved the spectral information of the multispectral image.
Keywords :
brightness; image fusion; principal component analysis; remote sensing; wavelet transforms; PCA transform; PWI transformation; WT transform; brightness component; image fusion; inverse IHS transformation; multispectral image; objective evaluation; panchromatic images; principal component analysis; remote sensing; spectral information; visual effect analysis; wavelet transform; Converters; Correlation; Image fusion; Principal component analysis; Remote sensing; Wavelet transforms;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5631122