Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Automatic identification method and system for pipeline target in ground penetrating radar data

A ground penetrating radar and automatic recognition technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problems of non-automation and long operation time, and avoid the problems of calculation, short operation time and short training time. Effect

Pending Publication Date: 2020-03-06
CHINA UNIV OF GEOSCIENCES (WUHAN) +1
View PDF3 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the shortcomings of the above-mentioned traditional pipeline automatic identification technology, such as non-automatic and long operation time, the present invention adopts the rapidly developing target recognition algorithm in deep learning to quickly and accurately locate the pipeline, and then through correlation calculation and Hough in one-dimensional parameter space Transformation to quickly extract pipeline parameters from located regions

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
  • Automatic identification method and system for pipeline target in ground penetrating radar data
  • Automatic identification method and system for pipeline target in ground penetrating radar data
  • Automatic identification method and system for pipeline target in ground penetrating radar data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0059] refer to figure 1 , the present invention mainly consists of two parts. The first part is to use the Faster RCNN algorithm in the regional convolutional neural network algorithm (RCNN) to automatically identify the hyperbolic area in the ground-penetrating radar image. The coordinates of the curved area in the image and the type of pipeline. The second part is to extract the horizontal distance, buried depth and pipe diameter parameters of the pipeline from each identified hyperbolic local area.

[0060] The implementation of the first part is mainly based on Google's open source deep learning framework TensorFlow, using Python to write programs to realize automatic identification of pipelines. The whole proces...

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 an automatic identification method and system for a pipeline target in ground penetrating radar data. According to the automatic identification method and system for a pipelinetarget in ground penetrating radar data, the positioning of a pipeline feature (hyperbolic curve) region in an image is identified by using a regional convolutional neural network; the positioning isaccurate and rapid, and the training time of a model is short; compared with the traditional Hough transform, the method for extracting the pipeline parameters from the pipeline feature region by using the cross-correlation operation and the Hough transform of the one-dimensional parameter space has the advantages that the operation time is shorter, and the requirement on hardware is low; and compared with a traditional full-graph search and calculation mode, the mode of carrying out region identification on the full-graph lines and then extracting the parameters from the regions has the advantages that the calculation of non-feature regions is avoided, and the calculation efficiency is greatly improved.

Description

technical field [0001] The invention relates to the field of ground-penetrating radar, in particular to data processing when ground-penetrating radar detects underground pipelines, and more specifically, to an automatic identification method and system for pipeline targets in ground-penetrating radar data. Background technique [0002] At present, there are three main ways to extract pipeline parameters from ground penetrating radar data: migration processing, Hough transform and pattern recognition. [0003] The working principle of migration processing is similar to the principle of seismic reflection wave exploration, both of which are migration imaging technology based on wave equation, which is the main technology used in the application of ground penetrating radar in my country at present. The search for pipelines is realized by presetting a wave velocity of electromagnetic waves propagating underground, and offsetting and homing the pipeline signals. The principle of...

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): G06K9/62G06N3/04
CPCG06N3/045G06F18/214
Inventor 张学强肖龙
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products