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Underwater target detection method based on rapid circulation unit

A rapid circulation, underwater target technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem of low detection accuracy

Active Publication Date: 2020-04-14
HARBIN ENG UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to propose an underwater target detection method based on a fast cycle unit for the problem of low detection accuracy in the underwater target detection technology in the prior art

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  • Underwater target detection method based on rapid circulation unit
  • Underwater target detection method based on rapid circulation unit
  • Underwater target detection method based on rapid circulation unit

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specific Embodiment approach 1

[0048] Specific implementation mode one: refer to figure 1 and figure 2 This embodiment is specifically described. A method for detecting an underwater target based on a rapid circulation unit described in this embodiment includes the following steps:

[0049] Step 1: Obtain target noise samples and construct sample data sets;

[0050] Step 2: Framing and labeling the target noise samples;

[0051] Step 3: Set the hyperparameters, build the cyclic neural network model, and use the sample data set to train the constructed cyclic neural network model. The hyperparameters include the size, number and step size of the convolution kernel in the convolution layer, and the loop the number of neurons in the unit and fully connected layers;

[0052] Step 4: Use the convolutional layer in the constructed cyclic neural network model to extract features from the noise samples;

[0053] Step 5: Perform a weighted filtering operation of the feature map channel on the sample after featu...

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Abstract

The invention discloses an underwater target detection method based on a rapid circulation unit, and relates to the technical field of underwater voiceprint feature extraction. The invention aims to solve the problem of low detection precision of an underwater target detection technology in the prior art. According to the invention, after feature extraction and feature selection are carried out onsegments after underwater acoustic signal sample framing, the features are arranged according to the time sequence, so that the time sequence data composed of the features is obtained, and the time sequence data is processed by using the recurrent neural network, thereby improving the accuracy of underwater target detection and reducing the false alarm rate.

Description

technical field [0001] The invention relates to the technical field of underwater voiceprint feature extraction, in particular to an underwater acoustic signal feature selection and combination method based on feature channels. Background technique [0002] Marine science and technology is the primary productive force in the process of ocean development, and it is also an important means of exploring the marine economy. Marine high-tech is one of the most important fields in the new technological revolution recognized by scholars around the world. Marine science and technology covers a wide range, including a variety of Disciplines and various technologies, for example, marine disciplines include marine basic science, marine physical science, marine chemical science, seabed geology, marine climatology and marine biology, etc.; marine-related technologies include oceanographic measurement, ocean hydroacoustics, marine energy Development, marine transportation and marine struc...

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/454G06V2201/07G06F18/24G06F18/214
Inventor 王红滨王勇军何鸣张耘王念滨周连科张毅
Owner HARBIN ENG UNIV