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Tunnel cavity state radar spectrum image identification model construction method and tunnel cavity state radar spectrum image identification method

A technology of image recognition and construction method, which is applied in the field of image recognition technology and deep learning, can solve the problems of single image feature extraction and low model recognition accuracy, and achieve enhanced adaptability, enhanced learning ability and generalization ability, and enhanced distinguishability effect of ability

Pending Publication Date: 2020-12-04
ANHUI DIGITAL INTELLIGENT CONSTR RES INST CO LTD +2
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AI Technical Summary

Problems solved by technology

[0006] Aiming at the problem that in the existing radar wave image detection of tunnel cavity, the image feature extraction is relatively simple, which leads to the problem of low recognition accuracy of the constructed model

Method used

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  • Tunnel cavity state radar spectrum image identification model construction method and tunnel cavity state radar spectrum image identification method
  • Tunnel cavity state radar spectrum image identification model construction method and tunnel cavity state radar spectrum image identification method
  • Tunnel cavity state radar spectrum image identification model construction method and tunnel cavity state radar spectrum image identification method

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Embodiment Construction

[0050] Hereinafter, exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described here.

[0051] exemplary method

[0052] Such as Figure 6 As shown, a tunnel cavity state radar spectrum image recognition model construction method, including

[0053] S102: Acquire first image information, where the first image information includes a radar spectrum image without a tunnel cavity and a radar spectrum image with a tunnel cavity.

[0054] In this example, the first image information is a collection of radar spectrum images of the tunnel cavity state acquired by ground radar, including radar spectrum images without tunnel cavity and radar spectrum ...

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Abstract

The invention discloses a tunnel cavity state radar spectrum image recognition model construction method and a tunnel cavity state radar spectrum image recognition method, and belongs to the technicalfield of image recognition. The method comprises the following steps: extracting time domain abstract semantic features from shallow to deep in a tunnel cavity state radar spectrum image through a convolutional neural network, and constructing a multi-source time-frequency domain complete global observation feature space of the tunnel cavity state radar spectrum image by fusing frequency domain gray statistical features extracted by Fourier transform; performing feature splicing on different feature vectors to obtain a final feature vector; and inputting the final feature vector into an SCN classifier to obtain a heterogeneous depth feature network model, so that the method is closer to a human vision model, the time domain and frequency domain features of the image are fully utilized, and the method has relatively high adaptability and robustness.

Description

technical field [0001] The invention belongs to the field of image recognition technology and deep learning technology, and in particular relates to a method for constructing a tunnel cavity state radar spectrum image recognition model and a tunnel cavity state radar spectrum image recognition method. Background technique [0002] With the country's massive investment in infrastructure such as roads and railways, more and more bridges and tunnels have been built. However, as the number of operating tunnels continues to increase, the operating time continues to increase, and a large number of tunnels have undergone major repairs due to holes. , which seriously affects the life of the lining structure and driving safety. Therefore, it is very important to study the identification method of the void behind the lining for the safety impact of the tunnel structure and the prevention and control measures. Among them, the geological radar detects the tunnel lining by using electro...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/2411G06F18/253
Inventor 耿天宝刘道学杨培荣宋林杨铭王岭白伟于健胡伟许堃
Owner ANHUI DIGITAL INTELLIGENT CONSTR RES INST CO LTD
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