Performance Assessment of IHS Fusion for Remote Sensing Images Based on Multiple Attribute Decision Making
Image and Signal Processing, 2008. CISP '08. Congress（2008）
摘要
Base on the traditional IHS (Intensity-Hue-Saturation) fusion and weighted IHS fusion algorithm, the adaptive weighted IHS information fusion based on local mean is discussed in this paper. Because the advantages and disadvantages of fusion algorithm have direct influences on the effect of remote sensing information fusion, the multiple attribute decision making method is proposed for assessing fusion algorithm. Finally, the effects of the different fusion IHS algorithm for remote sensing images are assessed using the decision making method for comparing the fusion effect. It proves that the proposed multi-attribute decision-making approach performs quite well for assessing the fusion algorithms.
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关键词
remote sensing,fusion effect,multiple attribute decision,weighted ihs fusion algorithm,information fusion,performance assessment,ihs fusion,different fusion ihs algorithm,adaptive weighted ihs information,traditional ihs,direct influence,fusion algorithm,proposed multi-attribute decision-making approach,numerical simulation,data mining,telecommunications,nonlinear distortion,object recognition,optical imaging,synthetic aperture radar,force,correlation,earth,signal processing,information science,indexes,radar,wavelet transforms,pattern recognition,prediction algorithms,radar imaging,economics,hyperspectral sensors,programming,additives,laser radar,artificial intelligence,physics,hyperspectral imaging,statistical analysis,satellites,spatial resolution,image resolution,radiometry,optimization,multispectral imaging,uncertainty,shape,algorithm design and analysis,adaptive optics,entropy
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