Computer Vision Method for Forest Fires Detection Based on RGB Images Obtained by Unmanned Motor Glider

IF 0.3 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Light & Engineering Pub Date : 2021-10-01 DOI:10.33383/2021-009

M. Kataev, E. Kartashov

引用次数: 0

Abstract

The article proposes a method (algorithm) of forest fire detection by means of RGB images obtained by using an unmanned aerial vehicle (motor glider). It includes several stages associated with background detection and subtraction and recognition of fire areas by means of RGB colour space. The proposed method was tested using images of forest fires. It is proposed to use unmanned aerial vehicles capable to monitor large areas continuously for several hours. The results of calculations are shown, which demonstrate that the proposed method allows us to detect areas of images occupied by forest fires and may be used in automatic forest fire monitoring systems.

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基于无人机动滑翔机RGB图像的森林火灾计算机视觉检测方法

本文提出了一种利用无人机(机动滑翔机)获取的RGB图像进行森林火灾探测的方法(算法)。它包括与背景检测和通过RGB色彩空间对五个区域进行减法和识别相关的几个阶段。使用森林火灾图像对该方法进行了测试。建议使用能够连续监视大面积区域数小时的无人驾驶飞行器。计算结果表明，所提出的方法能够检测出被森林火灾占据的图像区域，并可用于森林火灾自动监测系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Light & Engineering ENGINEERING, ELECTRICAL & ELECTRONIC-OPTICS

CiteScore

1.00

自引率

50.00%

发文量

审稿时长

1 months

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