SAR image data enhancement method and device and storage medium

Abstract

The invention discloses an SAR image data enhancement method and device and a storage medium, and the method comprises the following steps: carrying out the electromagnetic simulation of an SAR targetimage, and obtaining an SAR electromagnetic simulation image; processing the SAR electromagnetic simulation image and the SAR target image through a generative adversarial network to obtain an SAR target image virtual sample set. According to the method, the SAR target image is subjected to electromagnetic simulation to obtain the multi-azimuth SAR electromagnetic simulation image, so that the defect that the traditional SAR target image sample acquisition is insufficient is overcome, and sufficient data input is provided for subsequently solving the problem of training data scarcity in the deep learning training process; the mapping relation between the SAR electromagnetic simulation image and the SAR target image is learned through the generative adversarial network, the data richness of the SAR electromagnetic simulation image is improved, and therefore the SAR target image with the missing angle is expanded, and powerful support is provided for subsequent SAR target image recognition and detection and other work.

Description

Technical field [0001] The present invention relates to the technical field of image data processing, in particular to a method, device and storage medium for enhancing SAR image data. Background technique [0002] At present, the application requirements for SAR images in security detection fields such as remote sensing aviation aircraft detection, ship target dynamic monitoring, and oil spill warning dynamic detection are increasing; large-scene SAR target recognition relies on a large number of labeled samples to build classification models, which are limited by spatial scope and Regional accessibility and high cost; at the same time, the cost of labeling data limits the construction of large-scene SAR databases. Therefore, it is urgent to solve the problems of insufficient labeling training samples and insufficient data richness. Traditional methods use image spatial and frequency domain contrast Enhancement performs data enhancement, but the sample set obtained by this metho...

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Problems solved by technology

[0003] In order to solve the above problems, the object of the present invention is to provide a SAR image data enhancement method, device and storage medium, by combining SAR electromagnetic simulation images and generating adversarial networks to generate a large number of training samples to alleviate the lack of SAR target image samples and data richness. not enough problem

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