Ground penetrating radar target detection method based on full convolution network

A fully convolutional network and ground penetrating radar technology, applied in the field of image target detection, can solve problems such as affecting the accuracy rate, and achieve the effects of improved detection accuracy, robust features, and fast processing speed

Inactive Publication Date: 2018-11-16
XI AN JIAOTONG UNIV
View PDF6 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 ima...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Ground penetrating radar target detection method based on full convolution network
  • Ground penetrating radar target detection method based on full convolution network
  • Ground penetrating radar target detection method based on full convolution network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] The present invention provides a ground penetrating radar target detection method based on a fully convolutional network, which is different from the classic convolutional network which uses a fully connected layer after the convolutional layer. The fully convolutional network replaces the fully connected layer with a convolutional layer. The output classification result is a heat feature map, and each pixel in the heat feature map corresponds to the classification of a region in the original image. Using this feature, a three-layer fully convolutional network is built. In the detection stage, the image is first scaled to different scales, and then input to the network for convolution operation, and output the heat characteristic map. After the heat map is mapped and calculated, the position of the target can be accurately located. The network does not need to use a data set labeled with a position frame during training, and can accept input images of any size, detect ta...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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 ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62G01V3/12G06N3/04
CPCG01V3/12G06N3/045G06F18/217G06F18/214
Inventor 侯兴松郭晋燕
Owner XI AN JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap