Unmanned aerial vehicle detection method and system based on infrared polarization

An infrared polarization and detection method technology, applied in the field of imaging detection, can solve the problems of inability to detect the target, incomplete UAV target contour, poor detection effect, etc., and achieves improved clustering effect, multi-detailed contour, and improved contrast. Effect

Pending Publication Date: 2021-11-02
HEFEI UNIV OF TECH
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Problems solved by technology

[0008] The general infrared small target detection method uses a clustering algorithm to cluster the infrared image, the detection effect is not good, the drone target outline is incomplete or the target cannot be detected

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  • Unmanned aerial vehicle detection method and system based on infrared polarization
  • Unmanned aerial vehicle detection method and system based on infrared polarization
  • Unmanned aerial vehicle detection method and system based on infrared polarization

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[0076] 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.

[0077] The purpose of the present invention is to provide a UAV detection method and system based on infrared polarization, which can improve the accuracy of UAV detection.

[0078] 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.

[0079] figure 1 It is a schematic flo...

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Abstract

The invention relates to an unmanned aerial vehicle detection method and system based on infrared polarization. The method comprises the following steps: fusing an infrared polarization image in a polarization direction orthogonal to a background polarization angle and an infrared light intensity image subjected to adaptive contrast entropy top-hat transformation by utilizing the characteristic that the target polarization characteristic and the background polarization characteristic of the unmanned aerial vehicle have obvious difference, so that the background is suppressed, and the contrast ratio of the target and the background is improved; and finally, carrying out intuitionistic fuzzy C-means clustering on the fused image under polarization information probability induction, and detecting an unmanned aerial vehicle target in a complex background. The detection accuracy of the unmanned aerial vehicle can be improved.

Description

technical field [0001] The invention relates to the field of imaging detection, in particular to a method and system for detecting an unmanned aerial vehicle based on infrared polarization. Background technique [0002] At present, the misuse of drones has brought huge security risks to the low-altitude range, and the detection of illegally intruded drone targets has become an important research direction in low-altitude defense systems. [0003] In the prior art, UAV detection is carried out by photoelectric detection technology. Among them, there are two main types of traditional photoelectric detection technologies: visible light imaging and infrared imaging. [0004] Visible light imaging is to use a visible light camera to detect the video image of the target drone, so as to identify, confirm and track the target. This technology is suitable for use during the day, and its equipment cost is relatively low, and its application is relatively common. [0005] Infrared i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G01V8/10
CPCG01V8/10G06F18/23213G06F18/25
Inventor 范之国叶敏锐乔瑞吴翊伟陈励胡泉邹梓逸
Owner HEFEI UNIV OF TECH
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