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:
Sep. 10, 2024

Filed:

Oct. 13, 2020
Applicant:

Chang'an University, Xi'an, CN;

Inventors:

Jun Zhang, Xi'an, CN;

Jun Tao, Xi'an, CN;

Assignee:

CHANG'AN UNIVERSITY, Xi'an, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 13/88 (2006.01); G01S 7/41 (2006.01); G01S 13/89 (2006.01);
U.S. Cl.
CPC ...
G01S 13/885 (2013.01); G01S 7/417 (2013.01); G01S 7/418 (2013.01); G01S 13/89 (2013.01);
Abstract

A method for adaptively selecting a ground penetrating radar (GPR) image for detecting a moisture damage is provided. The method adaptively selects the GPR image according to a contrast of the GPR image. The method includes the following steps: S, reading pre-processed GPR data; S, adjusting a resolution of a picture; S, inputting a data set into a recognition model; S, outputting a moisture damage result; S, judging whether there is a detection target or not by using an initial random image data set; and S, generating the GPR image randomly incrementally and selecting the GPR image with a proper contrast. A proper B-scan image is found effectively, quickly and automatically by combining a recognition algorithm and a deep learning model or an image classification model to achieve an automatic recognition and detection based on the GPR image and improving a recognition precision as well.


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