High-resolution SAR image vehicle target detection method integrating statistical significance

Abstract

The invention provides a high-resolution SAR image vehicle target detection method fusing statistical significance, and the high-resolution SAR image vehicle target detection method comprises the steps: reading a high-resolution single-polarization SAR image, and extracting a region with a significant statistical feature in the image through a directed mean difference filter according to the imaging features of a vehicle body region and a shadow region in a vehicle target; fusing the original SAR data with the statistical feature saliency map so as to detect a vehicle target by adopting a deepneural network framework, and facilitating a target detection model to focus attention on an area with a significant statistical feature by fusing the features; training a target detection model, including selecting a training sample, and training to obtain a vehicle target detection model by taking the fusion feature as an input, wherein the target detection model is an improved YOLOv3 model, and the improvement mode is that an original SAR image and a directed mean difference filtering result are extracted at a network input end, and feature fusion is carried out; and performing vehicle target detection in the high-resolution single-polarization SAR image to be detected by using the trained target detection model.

Description

technical field [0001] The invention belongs to the technical field of synthetic aperture radar (Synthetic Aperture Radar, SAR) image target recognition, and further relates to a high-resolution SAR image vehicle target detection method with fusion statistical significance. Background technique [0002] SAR is a microwave imaging radar, which can realize all-day and all-weather earth observation by actively transmitting and receiving electromagnetic waves, and provides rich scattering information for the interpretation of ground objects. SAR has developed a variety of system platforms such as spaceborne, airborne, and UAV-borne, and its imaging performance has also developed from low-to-medium resolution to high-resolution, making SAR capable of detecting many targets such as ships, tanks, and vehicles (ground or surface, fixed or maneuvering targets) for detection and identification capabilities. SAR image vehicle target detection (such as cars, trucks, tanks, etc.) has im...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that some vehicle targets in high-resolution SAR images are similar to the background area, and it is difficult to accurately locate and detect vehicle targets in the prior art, such as a class of target detection methods based on statistical contrast, the present invention proposes a high-resolution fusion of statistical significance Vehicle target detection method in high-rate SAR images

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