An Early Forest Fire Detection Method Based on Unmanned Aerial Vehicle Vision

被引：0

作者：

Ma, Sha ^{[1
]}

Zhang, Youmin ^{[1
]}

Xin, Jing ^{[1
]}

Yi, Yingmin ^{[1
]}

Liu, Ding ^{[1
]}

Liu, Han ^{[1
]}

机构：

[1] Xian Univ Technol, Shaanxi Key Lab Complex Syst Control & Intelligen, Xian 710048, Shaanxi, Peoples R China

来源：

PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年

基金：

中国国家自然科学基金;

关键词：

UAV vision; Fire smoke; Fire detection; Significance detection algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Traditional forest fire detection methods based on flame are subject to detection delays due to the later appearrance of flame than smoke. When the flame is detected, the fire might have already been spread and out of control. Therefore, the objective of this paper is to study new fire detection method based on smoke. First a quadrotor unmanned aerial vehicle (UAV) is adopted to capture the fire video; then the collected video sequence will be processed by a series of preprocessing including filtering and image enhancement; finally a new significance detection algorithm is investigated for early and of smoke detection. Experimental results show that the algorithm can detect smoke effectively.

引用

页码：6344 / 6349

页数：6

共 24 条

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