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Sonar image recognition method and device

A sonar image and recognition method technology, applied in the computer field, can solve the problems of low recognition efficiency, lack of continuous recognition of sonar images, etc., and achieve the effect of fast recognition speed and improved recognition efficiency

Active Publication Date: 2021-07-13
北京星天科技有限公司
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  • Claims
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Problems solved by technology

[0003] However, the current recognition of sonar images is still at the point of mechanical recognition of single or multiple sonar images, the recognition efficiency is low, and there is a lack of an industrial application solution that can continuously recognize sonar images in real time

Method used

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  • Sonar image recognition method and device
  • Sonar image recognition method and device

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preparation example Construction

[0045] Such as figure 1 As shown, the training process of the deep learning network in a sonar image synthesis method provided by the embodiment of the present application may include:

[0046] Step 101. Input the sample image into the image feature extraction network to obtain the features of the sample image.

[0047] The sample images in this step come from the second training set. The second training set is different from the first training set. The images in the second training set are optical images collected in advance. These optical images are content images, which contain preset content information, such as cars, These optical images may include, but are not limited to, images of objects such as cars, ships, and airplanes in public datasets DIOR, DOTA-v1.5, NWPU VHR-10, LEVIR, and HRSID.

[0048] Optionally, before inputting the sample image into the image feature extraction network, the sample image may also be preprocessed. The content of preprocessing may include...

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Abstract

The invention discloses a sonar image recognition method and device, and the method comprises the steps: intercepting a target sonar image from a sonar waterfall plot according to a preset frame number interval, and recording a frame identifier of a specified echo data frame; recognizing the target sonar image based on a preset target recognition model, acquiring the preset information of a target object in the target sonar image, and acquiring the preset target recognition model by training a one-stage type target detection algorithm based on a first training set formed by synthesizing the sonar image, wherein the preset information comprises position information and category information; based on the frame identifier, determining position information of a target sonar image in a sonar waterfall plot; and marking the target object in the sonar waterfall plot based on the position information of the target sonar image in the sonar waterfall plot and the preset information of the target object in the target sonar image. The method and the device are high in recognition speed, can improve the recognition efficiency of the sonar image, and can be applied to actual production.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a sonar image recognition method and device. Background technique [0002] Side-scan sonar is an electronic device that uses the propagation characteristics of sound waves underwater to complete underwater detection and communication tasks through electro-acoustic conversion and information processing. Side-scan sonar images are two-dimensional images obtained by scanning and detecting underwater objects with side-scan sonar. With the development of artificial intelligence, it has become a trend to use machine learning for sonar image recognition. [0003] However, the current recognition of sonar images is still at the point of mechanical recognition of single or multiple sonar images, the recognition efficiency is low, and there is a lack of an industrial application solution that can continuously recognize sonar images in real time. Contents of the invention ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08G01S15/89
CPCG06N3/08G01S15/8902G06V20/00G06V10/44G06N3/048G06N3/045G06F18/241
Inventor 张庆港
Owner 北京星天科技有限公司
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