Sparse representation-based underground hidden crack filler identification method
A technology of sparse representation and recognition method, applied in character and pattern recognition, instruments, computer parts and other directions, can solve problems such as difficulty in crack detection, data processing and real-time display difficulties, and achieve the effect of increasing accuracy
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[0028] A sparse underground crack filling identification method, such as figure 1 As shown, including the following steps:
[0029] The first step is to construct a detection model and crack scattering electromagnetic field equations based on prior knowledge, construct a simulated detection scene of underground hidden cracks with different crack fillings, and transmit simulated emission signals to the constructed simulated detection scene through ground penetrating radar to obtain Simulated echo signals of different crack fillers. The crack filler for simulation experiment can be selected as many as possible, such as air, water, metal, various liquids and their mixtures, etc. In the stage of comparing simulation data, the more types of crack fillers in the constructed simulated detection scene, the more types of underground hidden crack fillers that can be identified in the actual measurement process. figure 2 It is the A-scan echo when the crack filler is air, water and metal. ...
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