Unmanned aerial vehicle target detection method, device, equipment and medium

A target detection and drone technology, applied in the field of image processing, can solve the problem of weak target detection performance of drones

Active Publication Date: 2021-08-20
NAT UNIV OF DEFENSE TECH
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However, in the process of realizing the present invention, the inventors found that the current detection techn

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  • Unmanned aerial vehicle target detection method, device, equipment and medium
  • Unmanned aerial vehicle target detection method, device, equipment and medium
  • Unmanned aerial vehicle target detection method, device, equipment and medium

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[0026] In order to make the purpose, technical solutions and advantages of the present application, the present application will be described in further detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are intended to explain the present application and is not intended to limit the present application.

[0027] All techniques and scientific terms used herein are commonly understood by those skilled in the art, unless otherwise defined. The terms used herein in the specification of the present application are merely intended to describe the embodiments of the specific embodiments, are not intended to limit the present application.

[0028] Further, the technical solution between the various embodiments of the present invention can be combined with each other, but it must be based on those of ordinary skill in the art, and when the combination of technical solutions appear or unable to imple...

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Abstract

The invention relates to an unmanned aerial vehicle target detection method and device, equipment and a medium. The method comprises the steps of obtaining an original data set of an unmanned aerial vehicle, wherein the original data set comprises a visible light video sequence and an infrared video sequence; performing image matching, image cutting and label updating processing on the visible light video sequence and the infrared video sequence to obtain a standard data set after image registration and size standardization; performing image fusion processing on the visible light image and the infrared image in the standard data set by using a CNN model to obtain a fused image set; and performing unmanned aerial vehicle target detection on the fused image set by using the trained YOLOv3 model to obtain an unmanned aerial vehicle detection result. On the basis of an existing YOLOv3 algorithm, visible light-infrared image fusion processing is added, the YOLOv3 algorithm is improved, a better unmanned aerial vehicle infrared target detection means based on image fusion is obtained, and the technical effect that the unmanned aerial vehicle target detection performance is higher is achieved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a method, device, equipment and medium for detecting a drone target. Background technique [0002] With the rapid development of microelectronics technology and artificial intelligence, the basic components of UAVs have shown the characteristics of miniaturization, low cost and low power consumption, which promote the innovation of UAV technology and make small UAVs have Many advantages such as light weight, simple operation, flexible body, strong survivability and low price expand its application field. With the development and improvement of new technologies such as artificial intelligence and 5G communication, due to the superior performance of drones, their application scale is also expanding, and they are widely used in civilian and military applications. As the threshold and difficulty of obtaining UAV technology continue to decrease, it will also bring ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/42G06K9/62G06T7/33G06N3/04
CPCG06T7/33G06V20/13G06V20/40G06V10/32G06N3/045G06F18/251G06F18/214
Inventor 康来陈辉魏迎梅万珊珊蒋杰谢毓湘
Owner NAT UNIV OF DEFENSE TECH
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