Deep convolutional network-based airborne ground penetrating radar target identification method

Abstract

The present invention discloses a deep convolutional network-based airborne ground penetrating radar target identification method, relates to the machine learning and ground penetrating radar application technologies, in particular to the application of a deep learning method in the airborne ground penetrating radar target identification. The method comprises the following steps of acquiring and pre-processing the radar data, designing the multiple layers of structures of a neural network, selecting a hyper-parameter, preventing the overfitting, activating a function, training a convolutionalmodel and displaying a prediction result. The airborne ground penetrating radar target identification method of the present invention identifies an airborne ground penetrating radar target, can automatically extract the parameters of the updated network during the training process, and reduces the manual intervention during the processing process. Meanwhile, the convolutional model of the presentinvention can extract the two dimensional filter characteristics of the different levels of the target, and the characteristics can represent the characteristics, such as the target, the background, the interference, etc. The deep convolutional network-based airborne ground penetrating radar target identification method enables the accuracy of the airborne ground penetrating radar target signal identification to be improved.

Description

technical field [0001] The invention relates to machine learning and ground-penetrating radar application technology, in particular to the application of deep learning methods in airborne ground-penetrating radar target recognition. Background technique [0002] Ground-penetrating radar, also known as geological radar, is an efficient geophysical method that uses high-frequency electromagnetic waves with a frequency between 100 and 4000 MHz to determine the distribution of underground media. The working method of ground penetrating radar is to radiate high-frequency electromagnetic waves to the ground through the transmitting antenna on the ground, and receive the electromagnetic waves reflected back to the ground through the receiving antenna on the ground. When the high-frequency electromagnetic wave propagates in the underground medium, it will reflect when it encounters an interface with electrical differences. Therefore, according to the waveform characteristics of the ...

AI Technical Summary

Problems solved by technology

[0005] At present, the data processing of airborne ground-penetrating radar needs to manually determine the echo characteristics of the target. Given the parameters of the relevant algorithm, not only cannot achieve real-time processing, but also consume a lot of manpower

The inversion method that treats the data interpretation problem as an electromagnetic inverse scattering problem also requires extremely high modeling accuracy and a large amount of computing resources, and often fails to achieve the desired effect in the complex environment of airborne ground penetrating radar

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