Clutter image generation method and target detection method for SAR (Synthetic Aperture Radar) image

Abstract

The invention discloses a clutter image generation method for an SAR image, and the method comprises the steps: respectively inputting different random noises into a real part generative adversarial network and an imaginary part generative adversarial network which are trained in advance, and correspondingly obtaining a clutter real part and a clutter imaginary part; combining the clutter real part and the clutter imaginary part to obtain a clutter image, wherein the real part generative adversarial network and the imaginary part generative adversarial network are used for respectively obtaining a real part training set and an imaginary part training set by extracting real parts and imaginary parts from clutter slice images of a large number of SAR images; and training a generative adversarial network by using the real part training set and the imaginary part training set. According to the method, the clutter image with the same characteristics as the real clutter can be generated, and the statistical research requirements of SAR image ground clutter and other clutters are met.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a clutter image generation method and a target detection method for SAR images. Background technique [0002] With the development of microelectronics and communication technology, more and more multi-frequency, multi-polarization, multi-view airborne or spaceborne SAR (Synthetic Aperture Radar, synthetic aperture radar) platforms have been successfully developed, and a large amount of useful data has been obtained. The demand for data analysis and SAR image interpretation is becoming more and more urgent. [0003] It is well known that clutter is an inherent environment in radar signal processing. In SAR images, except for the target echo of interest, the rest can be regarded as clutter, including natural clutter, such as grass, forests, rivers, etc., and man-made clutter, such as buildings and roads. One of the basic tasks of radar is signal processing in the backgr...

AI Technical Summary

Problems solved by technology

This method has a complete theoretical foundation and clear physical meaning. However, the modeling process of this method is complex and involves many hyperparameters. It is difficult to accurately fit the ground clutter of complex scenes with limited statistical distribution. Therefore, the generated clutter The wave image is difficult to match the real clutter characteristics

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