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A sar automatic target recognition method

A technology of automatic target recognition and moving steps, which is applied in scene recognition, neural learning methods, character and pattern recognition, etc., can solve the problems of low recognition accuracy and long training time, and achieve high recognition rate, short training time, good recognition effect

Active Publication Date: 2022-02-01
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of the current SAR automatic target recognition technology, the purpose of the present invention is to provide a SAR automatic target recognition method, which mainly solves the problems of long training time and low recognition accuracy in the prior art

Method used

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  • A sar automatic target recognition method
  • A sar automatic target recognition method
  • A sar automatic target recognition method

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Embodiment Construction

[0041] The present invention will be described in detail below according to the accompanying drawings.

[0042] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0043] 1) Obtain the SAR target image data and mark it according to the target category to form a training set.

[0044] For the multiple types of targets involved in the target recognition task, several SAR images are collected for each type as training samples.

[0045] 2) Perform data enhancement and preprocessing on the images in the training set.

[0046] 2.1) Data enhancement: perform random translation, flip, rotation, and scaling operations on each SAR image in the training set, and generate derived training samples marked with the same label as the original training sample to obtain an enhanced training sample set;

[0047] 2.2) Preprocessing: Carry out image preprocessing according to formula (1):

[0048]

[0049] Where x represents the sample image, x(i...

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Abstract

The invention discloses a SAR automatic target recognition method. The method first acquires SAR target image data and marks them according to target categories to form a training set, then performs data enhancement and preprocessing on the training set images, and then constructs a dense connection Convolutional neural network, and the training samples are input into the network for training, and finally the samples to be classified are preprocessed and input into the network for recognition. The SAR automatic target recognition training time of the invention is short, the recognition rate is high, and the degree of automation is high.

Description

technical field [0001] The invention belongs to the technical field of radar data processing, and in particular relates to a SAR automatic target recognition method, which mainly solves the problems of low recognition accuracy and long training time of the existing SAR automatic target recognition technology. Background technique [0002] Synthetic Aperture Radar (SAR) is an active high-resolution imaging radar that can obtain images similar to visible light images under cloud and fog occlusion and extremely low visibility weather conditions. SAR has strong penetrating power, high resolution, and large-scale monitoring capabilities. These advantages make it have significant advantages in applications such as environmental monitoring, ocean monitoring, map mapping, and military reconnaissance. Therefore, the research on SAR radar-related technologies has attracted more and more attention from all over the world, and SAR image automatic target recognition is one of the most im...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/13G06V10/774G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/13G06V2201/07G06N3/048G06N3/045G06F18/24G06F18/214
Inventor 万子宁刘兴高
Owner ZHEJIANG UNIV