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AssigneeJiangsu Sinoroad Transportaion Science and Technology Co., Ltd.
InventorsZhixiang ZHANG, Guanglai JIN, Yang YANG, Wenlong CAI, Guoshuai ZANG
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A method for artificial intelligence recognition of ground penetrating radar images first obtains a noise-free high-resolution simulated ground penetrating radar image through forward simulation; obtains the ground penetrating radar field test data and determines the manual features; establishes a ground penetrating radar graph library based on the simulated ground penetrating radar image and the ground penetrating radar test image; uses a multi-layer convolutional neural network to process the measured image data of the target to determine the autonomous learning features; and finally, determines the final type and final location information of the target disease based on the manual features, the autonomous learning features, and the ground penetrating radar graph library using the committee discrimination method. The accuracy and efficiency of recognition of internal diseases in pavement structures is improved by constructing a ground penetrating radar graph library that integrates manual features, autonomous learning features, and the committee discrimination method.
A method for artificial intelligence recognition of ground penetrating radar images, comprising:
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