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A UAV detection method and system based on multi-domain attention mechanism

A detection method and UAV technology, applied in the field of target detection, can solve problems such as less research and screening, and achieve the effect of improving recognition accuracy and reducing network computing complexity

Active Publication Date: 2022-03-15
北京中超伟业信息安全技术股份有限公司
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  • Application Information

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Problems solved by technology

Existing algorithms mostly use multi-scale feature fusion technology to solve the scale change problem in UAV detection (Cao Jinghao, Zhang Junju, Huang Wei, Yao Ruotong, Zhang Ping. UAV recognition and detection based on multi-scale feature fusion[J]. Aerospace Defense, 2021,4(01):60-64+70.), but there is less research on how to screen out key features that are helpful for UAV identification and positioning from rich feature information

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  • A UAV detection method and system based on multi-domain attention mechanism
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  • A UAV detection method and system based on multi-domain attention mechanism

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Embodiment Construction

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045] The purpose of the present invention is to provide a UAV detection method based on a multi-domain attention mechanism, which improves the recognition accuracy of UAVs.

[0046] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] figure 1 It is a schematic f...

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Abstract

The invention relates to a UAV detection method based on a multi-domain attention mechanism. The method includes: constructing a UAV detection image data set; constructing a UAV detection network based on a multi-domain attention mechanism; adopting UAV detection The image data set trains the UAV detection network to obtain the UAV detection model; uses the UAV detection model to detect the UAV on the image to be detected; the UAV detection network includes a backbone network, a multi-scale feature fusion network, a multi-scale Domain attention mechanism module, region generation network, ROI Align layer and detection head. The invention improves the recognition accuracy of the drone.

Description

technical field [0001] The invention relates to the field of target detection, in particular to a method and system for detecting a drone based on a multi-domain attention mechanism. Background technique [0002] In recent years, China's drone industry has developed rapidly, and the application scenarios of drones have been continuously broadened and deepened. However, the surge in the number of drones and the imperfection of its regulatory system have also led to a series of problems such as the leakage of personal privacy and confidential information, posing a serious threat to social and military security. Realizing the rapid and accurate identification of drones is the basis for drone supervision and countermeasures. Due to the powerful feature expression ability and excellent detection efficiency, the target detection technology based on convolutional neural network has been extensively studied by experts and scholars, and can provide a reliable technical approach for ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/80G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/254G06F18/253
Inventor 罗远哲刘瑞景徐盼云梅轶纯郑玉洁吴鹏刘志明李文静孟小钰
Owner 北京中超伟业信息安全技术股份有限公司