Title :
Multi-spectral and Panchromatic Image Fusion based on Local Information Entropy and its Distribution Property
Author :
Zhang, Yifan ; He, Mingyi ; Weng, Muyun ; Wen, Changyun ; Leroy, Sylvain
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech Univ., Xi´´an
Abstract :
HIS image fusion model has been widely used in the fusion of multi-spectral image with low spatial resolution and panchromatic image with high spatial resolution. In this paper, a new fusion algorithm is proposed by considering some existing problems in certain algorithms using HIS model, such as spectral distortion and sensitivity to noise. The proposed algorithm adopts gradient pyramid structure and determines fusion rule according to local information entropy and its distribution. Subjective qualitative evaluation and objective quantitative analysis of experiment results prove that this new algorithm can fuse spatial characteristics effectively and introduce less spectral distortion. And it also outperforms some classical algorithms in immunity to the noise in panchromatic image
Keywords :
geophysical signal processing; image colour analysis; image resolution; sensor fusion; distribution property; gradient pyramid structure; hue-intensity saturation transform; image fusion model resolution; local information entropy; multispectral image fusion; multispectral image fusion algorithm; noise sensitivity; objective quantitative analysis; panchromatic image fusion; qualitative evaluation; spatial resolution; spectral distortion; Discrete wavelet transforms; Filters; Image fusion; Information entropy; Laplace equations; Multiresolution analysis; Noise reduction; Principal component analysis; Remote sensing; Spatial resolution; HIS; Multi-spectral; gradient pyramid structure; image fusion; panchromatic;
Conference_Titel :
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9513-1
Electronic_ISBN :
0-7803-9514-X
DOI :
10.1109/ICIEA.2006.257154
