SAR moving ship target detection method and device

Abstract

The invention provides an SAR moving ship target detection method and device, and relates to the technical field of synthetic aperture radar image target detection. The method comprises the following steps: acquiring a single-vision complex image and an amplitude image data set of the synthetic aperture radar; performing data annotation on the amplitude image data set, and randomly selecting a training set from the amplitude image data set; performing feature extraction on the training set by using a deep learning model to obtain feature maps of multiple scales and spatial transformation information; estimating a Doppler center frequency shift matrix of the single-vision complex image according to the spatial transformation information; performing feature fusion on the Doppler center frequency shift matrix and the feature maps of each scale to obtain a fusion feature map with target motion information; and sending the fused feature map into a target detection module, and outputting a detection result of the moving ship target. According to the method, Doppler center frequency shift features are combined with a deep learning model, Doppler domain fusion prediction is adopted, and the detection effect of a moving ship target is improved.

Description

technical field [0001] The invention relates to the technical field of synthetic aperture radar (Synthetic Aperture Radar, SAR) image target detection, in particular to a SAR moving ship target detection method and device. Background technique [0002] Synthetic Aperture Radar is a high-resolution microwave imaging radar, which actively transmits electromagnetic wave signals, receives echoes reflected by ground objects, and uses complex coherent signal processing to obtain image information of ground objects. Different from optical remote sensing images, the feature information of ground objects reflected in SAR images is very rich and more complex, which causes great difficulties in the interpretation of SAR images, and also limits the application of SAR images in various fields to a certain extent. . In particular, marine remote sensing has the characteristics of wide observation area and rapid changes in weather and environment. It is of great significance to improve the...

AI Technical Summary

Problems solved by technology

However, when applied to the field of SAR ship detection, since the SAR data itself contains various information such as phase and polarization other than the amplitude, the data itself is not fully utilized, which restricts the upper limit of the model. In complex scenarios, only relying on the amplitude information cannot to achieve the desired effect

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