Ground penetrating radar target detection method based on full convolution network

Abstract

The invention discloses a ground penetrating radar target detection method based on a full convolution network, which comprises the steps of building a three-layer full convolution network to train aground penetrating radar data set, scaling an image to obtain different scales, then inputting into the network for convolution operation, outputting a heat characteristic map, performing mapping calculation on the heat map, and positioning the location of a target so as to complete the target detection. The network does not need to use a data set marked by a location box when being trained, can accept input pictures of any size, detects targets of different sizes and is high in speed. In the case of a small data volume of the ground penetrating radar, ground penetrating radar target detectionbased on the full convolution network is realized through data expansion. The algorithm has the advantages of high speed, high detection accuracy and the like.

Description

Technical field [0001] The invention belongs to the technical field of image target detection, and specifically relates to a ground penetrating radar target detection method based on a full convolutional network. Background technique [0002] Ground Penetrating Radar (Ground Penetrating Radar, referred to as GPR) is the use of electromagnetic waves to detect underground targets, by analyzing the interaction between electromagnetic signals and underground targets, extracting information such as the nature and shape of the target. As human beings gradually understand and explore the natural world, people's exploration of the world below the surface becomes more and more urgent. Ground penetrating radar is a new technology used in the detection of shallow geological structures and lithology on the surface in recent years. It is characterized by rapid, non-destructive and continuous detection, and displays the underground structure section in real-time imaging, so that the detection ...

AI Technical Summary

Problems solved by technology

[0007] Among the above traditional ground penetrating radar target detection methods, the first type is based on image-level target detection, which will have a great relationship with the quality of ground penetrating radar images to a large extent; the second type is to use the signal model To achieve target detection, this type of method will require certain prior knowledge, and the correctness of the model will seriously affect the accuracy of detection.

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