Detection method based on airfield pavement cracks
A detection method and technology for pavement cracks, applied in the direction of neural learning methods, roads, roads, etc., can solve problems such as low efficiency, slow development of automatic detection technology, backward detection, etc., achieve high-efficiency crack recognition results, improve extraction capabilities and information complementarity degree of effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0040] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative work all belong to the protection scope of the present invention.
[0041] The present invention provides a detection method based on airport pavement cracks, including visible light image crack identification and pavement crack determination; the visible light image crack identification includes a convolution module, a dense connection module, a conversion module, a depth supervision module, and a deconvolution module. Layer and fusion module; first, the feature maps of multiple scales of the image are extracted through ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


