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- W2350465738 abstract "Aim Exploring the techniques of the efficient integration of remote sensing images with multiple spatial, temporal and spectrum resolution.The techniques for data fusion in multi-sources remotely sensed imagery are reviewed including the concept of fusion,the algorithms of fusion and the evaluate of fusion effects.Methods Analyzing the remotely sensed imagery for multiple spatial, temporal and spectrum resolution giving three method for data fusion is pixel-based, featuee-based and decision-based.Using the information theory to build a system for appraiseing the quality of fusion imagery.Results The multi-source image data fusion can be classified into three levels:pixel-based, featuee-based and decision-based.Using pixel-based method,the information loss is the lowest, using decision-based method the information loss is the highest.The accuracy of the pixel-based is the higest,and of decision-based method is the lowest.Conclusion Comparing multi-source image data fusion as single image data fusion can get more accuracy more safety more reliable image, it can raise the resolution and definition,effectively rasie the utilization of the remotely sensed imagery." @default.
- W2350465738 created "2016-06-24" @default.
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- W2350465738 date "2004-01-01" @default.
- W2350465738 modified "2023-09-27" @default.
- W2350465738 title "The theory and techniques for data fusion of multi-sources remotely sensed imagery" @default.
- W2350465738 hasPublicationYear "2004" @default.
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