Automatic convergence imaging method based on ground penetrating radar echo data

A technology of echo data and ground penetrating radar, which is used in the reflection/re-radiation of radio waves, detection with electromagnetic waves, radio wave measurement systems, etc. problems such as slow speed, to achieve the effect of facilitating aggregation, reducing computing time, and meeting actual and application needs

Active Publication Date: 2018-08-10
XIAMEN UNIV
View PDF4 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (1) The traditional bp algorithm needs to calculate the time delay of each radar at each pixel point, so the calculation amount is large and the calculation speed is slow;
[0007] (2) The sidelobe an...

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 convergence imaging method based on ground penetrating radar echo data
  • Automatic convergence imaging method based on ground penetrating radar echo data
  • Automatic convergence imaging method based on ground penetrating radar echo data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0053] Such as figure 1 As shown, an automatic convergence imaging method based on ground penetrating radar echo data, including:

[0054] S1. Use the mean value to remove the background algorithm to filter the echo image and remove the surface clutter;

[0055] S2. Using a median filtering algorithm to remove echo image noise;

[0056] S3. Using threshold analysis to obtain the number of radars required by the pixel;

[0057] S4. Convergent imaging is performed on the echo images by using a back projection algorithm based on cosine distance weighting.

[0058] There are many clutters in the received signal of ground penetrating radar. Among them, the energy of the direct coupling wave of the antenna and the direct reflection wave of the medium surface is the largest, which is generally much larger than the target echo. Due to the existence of these two strong clutter signals, the compressed The dynamic range of the target echo reduces the system's ability to detect weakly re...

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 convergence imaging method based on ground penetrating radar echo data. The method comprises the following steps: S1) carrying out filtering on an echo image through a mean de-background algorithm to remove ground clutters; S2) removing echo image noise through a median filtering algorithm; S3) obtaining the number of radars required by pixel points through threshold analysis; and S4) carrying out convergence imaging on the echo image through a back-projection algorithm based on cosine distance weighting. The method can quickly and automatically carry out convergence imaging on the ground penetrating radar echo image, and can still converge echo signals quickly and effectively under the complex urban environment by utilizing the back-projection algorithm based on cosine distance and threshold analysis image segmentation technology, thereby meeting practical and application requirements.

Description

technical field [0001] The invention relates to the field of radar imaging, in particular to an automatic convergence imaging method based on ground-penetrating radar echo data. Background technique [0002] As a transportation infrastructure, roads are of great significance to digital management and construction for applications such as urban planning, traffic management, and navigation. Roads are one of the most important infrastructures in my country's national economic construction, and their engineering quality is directly related to national property. losses and people's lives. In the process of road survey, design and construction, it is often encountered that there are various types of voids under the designed roadbed. The existence of unfavorable geological phenomena such as underground cavities often makes the subgrade unstable, causing damage to subgrades, road surfaces, bridges, culverts and other structures, which is extremely harmful to highway engineering and ...

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): G01S13/90G01V3/12
CPCG01S13/904G01V3/12
Inventor 李军洪志友罗志鹏邓振淼陈一平王程
Owner XIAMEN 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