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
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
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...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com