An early forest fire detection method based on unmanned aerial vehicle vision

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 met...

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Bibliographic Details
Published inChinese Control and Decision Conference pp. 6344 - 6349
Main Authors Ma, Sha, Zhang, Youmin, Xin, Jing, Yi, Yingmin, Liu, Ding, Liu, Han
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2018
Subjects
Detection algorithms
Feature extraction
Fire detection
Fire smoke
Forestry
Image color analysis
Significance detection algorithm
Sparse matrices
UAV vision
Unmanned aerial vehicles
Visualization
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ISSN1948-9447
DOI10.1109/CCDC.2018.8408244

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Summary: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 efficient smoke detection. Experimental results show that the algorithm can detect smoke effectively.
ISSN:1948-9447
DOI:10.1109/CCDC.2018.8408244