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

A technology of deep convolution and ground penetrating radar, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve problems such as inability to achieve real-time processing, labor-intensive, and unreachable, and achieve real-time efficiency The effect of identifying targets, reducing labor costs, and maximizing practicability

Active Publication Date: 2018-06-19
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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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

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

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Embodiment Construction

[0056] A method for recognizing an airborne ground-penetrating radar target based on a deep convolutional network, comprising the following steps:

[0057] Step 1: Collect training samples:

[0058] This step is to obtain data during the training phase. In order to ensure the reliability of the results, the terrain, soil conditions, and the material and size of the target should be close to the relevant conditions when obtaining the predicted data.

[0059] Step 101: Bury the target object underground in the application site, and record the position P of the target object; the position of the target object is recorded according to the distance from the starting point of the aircraft;

[0060] Step 102: Control the aircraft equipped with the ground penetrating radar to move through the application site at a uniform speed in a straight line, emit electromagnetic signals and record the return waveform;

[0061] The ground penetrating radar described in this step is composed of a...

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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 ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/048G06N3/045G06F18/2415
Inventor 赵青廖彬彬谢龙昊马春光
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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