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《Journal of Electronics & Information Technology》 2007-02
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Remote-Sensed Images Fusion Using Fuzzy Density Determined Adaptively Based on Wavelet Transform

Shi Ai-ye Xu Li-zhong(College of Computer and Information Engineering,Hohai University,Nanjing 210098,China)  
This paper proposes a fused algorithm based on fuzzy integral.This method firstly obtains belief function using the wavelet coefficient of multispectral images and panchromatic images,then constructs fuzzy density adaptively using the deviation of local window of wavelet coefficient,moreover obtains fused wavelet coefficient by fuzzy integral,finally obtains fused image by inverse wavelet transform.The experiment shows that while the developed method can keep spectral quality of fused image,it can update the spatial detail quality of fused image when appropriate fuzzy density is chosen.
【Fund】: 国家自然科学基金(60374033);; 江苏省自然科学基金(BK2002064);; 江苏省高技术研究(BG2006003)资助课题
【CateGory Index】: TP751
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【References】
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【Co-citations】
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1 CHEN Shan-ben,CHEN Bo,MA Hong-bo,LIN Tao(Material and Engineering College,Shanghai Jiaotong University,Shanghai 200240);Applications and prospects of multi-sensor information fusion technology in welding process[J];Electric Welding Machine;2009-01
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Chinese Journal Full-text Database 10 Hits
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