Road underground hidden danger detection method and system based on radar image and artificial intelligence
An artificial intelligence, radar image technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of unable to give the target position, depth and size, mislabeling and missing, missing targets, etc., to improve the scope of application and intelligence, improve recall rate and precision, and have the effect of strong anti-interference
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[0064] The preferred embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0065] Such as figure 1 As shown, the present invention provides a kind of road underground hidden danger detection method based on radar image and artificial intelligence, comprises the following steps:
[0066] Step S1, screening B-SCAN sample pictures containing underground hidden danger targets from the three-dimensional ground penetrating radar database;
[0067] Step S2, perform target detection and labeling on each target in the sample picture, and perform data enhancement processing to form an underground hidden danger target detection data set;
[0068] Step S3, respectively training two R-CNN target detection neural networks through the underground hidden danger target data set to obtain two target detection models capable of detecting cavities, voids, pipelines and manhole objects;
[0069] Step S4, read the B-SCAN pi...
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