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《Chinese Journal of Geophysics》 2006-05
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Objects recognition of ground penetrating radar in karst regions using wavelet energy spectrum analysis

LI Cai-Ming~1,WANG Liang-Shu~1,XU Ming-Jie~1,LIU Yuan-Sheng~2,ZHONG Kai~1,ZHANG Shan-Fa~3 1 Department of Science Earth,Nanjing University,Nanjing 210093,China2 Earthquake Administration of Shandong Province,Jinan 250014,China 3 Zhengyuan Geophysical Survey Co.Ltd.Shandong,Jinan 250014,China  
The frequency and amplitude characteristics derived from the Ground Penetrating Radar(GPR) data have been widely applied to object recognition in the karst area,but still meet some limitations.Here we present a new method using wavelet energy spectrum analysis.First we analyze the GPR signals of typical samples in the karst area and obtain their wavelet energy spectrum,which consist of the energy eigenvectors at different scales and frequency bands.Then the object recognition is achieved by comparing the characteristic energy spectrum with those of studied object.Both the data analysis and experiments demonstrate that the wavelet energy spectrum can directly show characteristics of object signals,which is very effective for the object recognition in the karst region from the GPR survey.
【Fund】: 国家自然科学基金(40574015);; 高校博士点基金(20050284040)资助
【CateGory Index】: P631.8
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