The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 28, 2023

Filed:

Dec. 16, 2020
Applicant:

Chang'an University, Xi'an, CN;

Inventors:

Jun Zhang, Xi'an, CN;

Jun Tao, Xi'an, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 13/88 (2006.01); G06V 10/42 (2022.01); G06V 10/82 (2022.01); G01N 27/22 (2006.01); G01S 7/41 (2006.01); G01S 13/89 (2006.01); G01V 3/12 (2006.01);
U.S. Cl.
CPC ...
G01S 13/885 (2013.01); G01N 27/221 (2013.01); G01S 7/417 (2013.01); G01S 13/89 (2013.01); G01V 3/12 (2013.01); G06V 10/42 (2022.01); G06V 10/82 (2022.01);
Abstract

A method for detecting a moisture damage on an asphalt pavement based on adaptive selection of a penetrating radar (GPR) image grayscale includes the following steps: step 1: obtaining a moisture damage GPR image dataset through asphalt pavement investigation by using a ground GPR, where a GPR image with an appropriate plot scale is selected according to an adaptive GPR image selection method; step 2: adjusting image resolution, specifically, scaling a resolution of an initial GPR image dataset of a damage directly to 224×224 to obtain a BD dataset; step 3: inputting the dataset into a recognition model, specifically, inputting the BD dataset obtained in step 2 into the recognition model, performing operation by the recognition model, and performing step 4; and step 4: outputting a moisture damage result. The new method truly realizes automatic and intelligent target detection based on the GPR.


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