小波变换
探地雷达
计算机科学
雷达
小波
天线(收音机)
遥感
声学
地质学
计算机视觉
电信
物理
作者
Qiyue Ru,Feng Yang,Qiao Xu,Wenxing Shi,Fu Zhang,Haitao Zuo,Xinxin Huang
摘要
Ground Penetrating Radar (GPR), a prevalent urban road inspection technique, encounters operational limitations due to the shallow penetration of high-frequency antennas and the low resolution of low-frequency counterparts. To surmount these obstacles while catering to the requisites of both high data resolution and substantial detection depth, the present study introduces a novel data fusion methodology for multi-frequency GPR, leveraging the two-dimensional wavelet transform. Experimental validation was carried out using 300M and 400M radar frequencies, with metrics such as the average gradient, information entropy, spatial frequency and Laplacian operator gradient serving as the benchmarks for assessment. The empirical findings affirm the efficacy of the proposed approach in amalgamating the signal attributes of multi-frequency antennas, thereby markedly enhancing both the penetration depth and precision of GPR data.
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