Remote sensing image fusion for different spectral and spatial resolutions with bilinear resampling wavelet transform

2004 ◽  
Author(s):  
Zhou Qianxiang ◽  
Jing Zhongliang ◽  
Jiang Shizhong
Keyword(s):  
Remote Sensing ◽  
Wavelet Transform ◽  
Image Fusion ◽  
Remote Sensing Image ◽  
Remote Sensing Image Fusion

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.

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