Chang'an University

Jun Tao

Jun Zhang

Chao Zhang

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.

Method for adaptively selecting ground penetrating radar image for detecting moisture damage

A method for constructing a recognition model of a moisture damage of an asphalt pavement, and a method and system for recognizing the moisture damage of the asphalt pavement are provided. The method includes the following steps: S, acquiring an initial dataset through a Ground Penetrating Radar (GPR) pavement field survey; S, acquiring a time-frequency image set; S, adjusting a resolution of a time-frequency image; and S, constructing the recognition model and recognizing the moisture damage of the asphalt pavement with the recognition model. —A method and a system for recognizing the moisture damage of the asphalt pavement are further provided. The method for constructing and the method and the system for recognizing solves a technical problem of detecting the moisture damage of the asphalt pavement automatically to not only improving a precision of a moisture damage recognition, but also providing a novel method for analyzing GPR original data.

Method for constructing recognition model of moisture damage of asphalt pavement and method and system for recognizing moisture damage of asphalt pavement

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&#xd7;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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Xi'an, China

Jun Tao