MULTISENSOR REMOTE SENSING IMAGE FUSION USING STATIONARY WAVELET TRANSFORM: EFFECTS OF BASIS AND DECOMPOSITION LEVEL

2008 ◽  
Vol 06 (01) ◽  
pp. 37-50 ◽  
Author(s):  
SHUTAO LI
Keyword(s):  
Remote Sensing ◽  
Wavelet Transform ◽  
Image Fusion ◽  
Quality Measures ◽  
Remote Sensing Image ◽  
Wavelet Filter ◽  
Stationary Wavelet Transform ◽  
Decomposition Level ◽  
Remote Sensing Image Fusion ◽  
Fusion Applications

Stationary wavelet transform is an efficient algorithm for remote sensing image fusion. In this paper, we investigate the effects of orthogonal/biorthogonal filters and decomposition depth on using stationary wavelet analysis for fusion. Spectral discrepancy and spatial distortion are used as quality measures. Empirical results lead to some recommendations on the wavelet filter parameters for use in remote sensing image fusion applications.

Remote Sensing Image Fusion Algorithm Based on S-PCNN and Two-dimensional Stationary Wavelet Transform

2015 ◽  
Vol 52 (10) ◽  
pp. 101004
Author(s):  
金鑫 Jin Xin ◽  
聂仁灿 Nie Rencan ◽  
周冬明 Zhou Dongming ◽  
余介夫 Yu Jiefu ◽  
贺康健 He kangjian
Keyword(s):  
Remote Sensing ◽  
Wavelet Transform ◽  
Image Fusion ◽  
Remote Sensing Image ◽  
Two Dimensional ◽  
Stationary Wavelet Transform ◽  
Fusion Algorithm ◽  
Remote Sensing Image Fusion
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