Optical remote sensing image airplane target detection method based on rotary positioning network

Abstract

An optical remote sensing image airplane target detection method based on a rotary positioning network comprises the following steps that S1, a picture is input into a ResNet feature network, multi-dimensional feature information is extracted, and a feature map represented by a multi-dimensional array is obtained; S2, the feature map is inputted into a cumulative feature pyramid network, fusing high-level semantics and bottom-level semantics, and extracting a receiving domain and context information of high-level semantics and target position information of the bottom-level semantics; S3, a RPN sub-network generates an anchor box in the features output by the cumulative feature pyramid network, boundary regression and foreground classification are carried out on the anchor box, and a horizontal proposal box is obtained; and S4, the horizontal proposal frame is sent into a rotation area positioning network for rotation and zooming to generate a rotation target frame, and finally an aircraft target rotation detection frame is outputted. According to the invention, the cumulative feature pyramid network is used for feature fusion, and the rotating rectangular bounding box is adopted,so that the background redundancy after framing of the target is reduced, and the detection result is more accurate in a dense scene.

Description

technical field [0001] The invention belongs to the technical field of image detection, and in particular relates to an optical remote sensing image aircraft target detection method based on a rotation positioning network. Background technique [0002] Aircraft target detection is an important way to evaluate the function and importance of the airport and grasp the enemy's dynamics. With the maturity of remote sensing image technology, the resolution of remote sensing images becomes higher and the amount of information contained increases. Therefore, more and more aircraft target detection methods use remote sensing images as the basic structure of detection. Under this trend, machine learning methods that have become popular in recent years have also been widely used in this field. [0003] Although the technology is becoming more and more mature, there are still many difficulties and challenges in the aircraft target detection method: 1. The aircraft on the airport apron ...

AI Technical Summary

Problems solved by technology

Aircraft target detection often has problems such as insufficient data information, poor training effect, and poor detection effect of dense scenes.

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