Objects recognition of ground penetrating radar in karst regions using wavelet energy spectrum analysis
基于小波能谱分析的岩溶区探地雷达目标识别

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.