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《Progress In Geophysics》 2005-02
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Performance analysis of GPR image de-noising based on different pre-processing methods

ZOU Hai-lin, NING Shu-nian, ZOU Hua-sheng (China University of Mining & Technology, Beijing 100083, China)  
The influence on signals de-noising with the multiwavelets pre-processing methods is discussed and investigated in this paper. The de-noising effect of ground penetrating radar (GPR) image with multiwavelets based on different pre-processing methods and an improved thresholding function is analyzed and compared. The results of simulation experiment indicate that the de-noising effect of GPR image with DGHM multiwavelet based on proper pre-processing methods is better than those traditional methods.
【Fund】: 教育部博士基金(20030290003);; 山东省自然科学基金(Y2002G08)资助.
【CateGory Index】: P631.2
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