SAR target classification method for pre-training complex full convolutional neural network

Abstract

The invention relates to an SAR target classification method for pre-training a complex full convolutional neural network, and the method comprises the steps: S1, improving a complex convolutional auto-encoder structure according to a complex full convolutional neural network structure; S2, training a plurality of convolution auto-encoders by adopting training samples; sS3, initializing a plurality of fully convolutional neural networks by using encoder parameters in the trained plurality of convolutional auto-encoders, and further finely tuning the plurality of fully convolutional neural networks by using the training samples; S4, classifying the test samples by adopting the trained complex full convolutional neural network. According to the SAR image target recognition method based on the complex convolutional neural network, for the overfitting problem caused by the small number of training samples in SAR image target recognition based on the complex convolutional neural network, the complex convolutional auto-encoder is adopted to pre-train the complex full convolutional neural network, and the high target recognition rate is obtained through a small number of training samples.

Description

technical field [0001] The present invention relates to the field of radar signal processing, in particular to a SAR target classification method of a pre-trained complex fully convolutional neural network, which solves the over-fitting problem caused by the small number of training samples in the process of SAR target classification, thereby realizing the use of A small number of training samples obtains a higher target recognition rate. Background technique [0002] Synthetic aperture radar (SAR) automatic target recognition can solve the problem of manpower and material resources consumed by manual interpretation of SAR images, and has always been one of the research hotspots in the field of SAR. In recent years, with the development of deep learning, SAR automatic target recognition based on deep learning has achieved rapid development. Convolutional neural network is a commonly used deep learning network, which has been widely used in the classification and recognition...

AI Technical Summary

Problems solved by technology

However, this method still has the problem of overfitting due to the small number of training samples

Images