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《ACTA GEODAETICA ET CARTOGRAPHIC SINICA》 1999-03
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A New Fusion Approach Based on Local Histogram Matching Filtering Techniques

Li Jun, Zhou Yueqin, Li Deren (LIESMARS,Wuhan Technical University of Surveying and Mapping,Wuhan, Hubei, 430079)  
This paper presents a new image fusion scheme based on local histogram matching filtering techniques for fusing high resolution panchromatic and multi spectral images. The proposed method analyses local image statistics and then matches the local histograms of two images to be fused by applying mean or mean variance matching normalization functions. Three different fusion algorithms (HPF, LMM,LMVM) were applied to merge SPOT panchromatic and TM multi spectral images. The quality evaluation results show that the amount of spectral information can be efficiently preserved while the spatial resolution has been improved.
【Fund】: 国家自然科学基金 国防科工委项目
【CateGory Index】: P237
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