Title :
Wavelet decomposition applied to image fusion
Author :
Yan, Dongmei ; Zhao, Zhongming
Author_Institution :
Dept. of Image Process., Acad. Sinica, Beijing, China
Abstract :
In the field of remote image processing, data fusion is applied to solve the contradiction between high spatial and high spectral resolution. The usual method merges a panchromatic image and a low resolution multispectral image. In this paper we discuss the defects of normal data fusion algorithms (such as HIS mergers, PCA mergers), develop a technique based on image wavelet decomposition, and give detailed analysis of reconstructed images with different wavelet decomposition scale. The frequency response of image fusion with wavelet decomposition is presented to show the properties of the merge of SPOT and multispectral images
Keywords :
frequency response; geophysical signal processing; image reconstruction; image resolution; remote sensing; sensor fusion; spectral analysis; wavelet transforms; HIS mergers; PCA mergers; SPOT images; data fusion; decomposition filter size; image fusion; multispectral images; reconstructed images; remote image processing; spatial resolution; spectral resolution; wavelet decomposition scale; Algorithm design and analysis; Corporate acquisitions; Image analysis; Image fusion; Image processing; Image resolution; Multispectral imaging; Principal component analysis; Spatial resolution; Wavelet analysis;
Conference_Titel :
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location :
Beijing
Print_ISBN :
0-7803-7010-4
DOI :
10.1109/ICII.2001.982761
