SAR target identification method based on CNN

Abstract

The invention discloses an SAR target identification method based on s CNN. The achieving steps are that 1. a target to be identified in each training image is subjected to multi-time random translation transformation, new samples are obtained, and the new samples are marked with labels of original images and are put into training samples in an expansion mode; 2. a convolutional neural network (CNN) structure is established in a caffe framework; 3. the training samples obtained after expansion are input into the CNN for training, and a trained network model is obtained; 4. a testing sample is subjected to multi-time translation expanding, and the testing sample obtained after expanding is obtained; and 5. the testing sample obtained after expanding is input into the trained CNN network model for testing, and the recognition rate is obtained. A target to be identified at any position of a sample image has the high recognition rate and stable performance, and the problem that according to an existing SAR target recognition method, influence from the position of the target to be recognized in the sample images is large is solved.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a radar target recognition method, which is used to solve the problem of translation sensitivity of the existing target recognition method to the target to be recognized in SAR images. Background technique [0002] Synthetic aperture radar (SAR) has the characteristics of all-weather, all-time, high resolution and strong penetrating power, and is widely used in the fields of military reconnaissance and remote sensing. Radar imaging technology has unique advantages in detecting ground targets, especially ground stationary targets. With the continuous maturity of SAR technology and the continuous improvement of imaging resolution, target recognition technology through SAR images has received more and more attention. [0003] Convolutional neural network (CNN) is a kind of artificial neural network, which has become a research hotspot in the field of speech analysis and im...

AI Technical Summary

Problems solved by technology

However, the target area to be identified in the sample obtained by actual SAR imaging will be at any position in the SAR image, and the existing target recognition method is greatly affected by the position of the target area, resulting in a decrease in the recognition rate.

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