Research Article
Research on Forest Fire Image Recognition System in Northeast Forest Region Based on Machine Vision
@INPROCEEDINGS{10.1007/978-3-031-04409-0_12, author={Yan Li and Guagnhua Yu and Fengling Wang}, title={Research on Forest Fire Image Recognition System in Northeast Forest Region Based on Machine Vision}, proceedings={Machine Learning and Intelligent Communications. 6th EAI International Conference, MLICOM 2021, Virtual Event, November 2021, Proceedings}, proceedings_a={MLICOM}, year={2022}, month={5}, keywords={Forest fire Machine vision Fire recognition}, doi={10.1007/978-3-031-04409-0_12} }- Yan Li
Guagnhua Yu
Fengling Wang
Year: 2022
Research on Forest Fire Image Recognition System in Northeast Forest Region Based on Machine Vision
MLICOM
Springer
DOI: 10.1007/978-3-031-04409-0_12
Abstract
As a large forest region in Northeast China, forest fire prevention has always been an important matter concerned by Heilongjiang Province. The emergence of fire, the damage to the ecology and environment is inestimable. Therefore, it is particularly important to use the intelligent image recognition technology to monitor the forest fires in northeast China in real time to ensure that the forest areas in northeast China are not damaged by fire. In fact, in the field of forest fire prevention, many scholars at home and abroad have done a lot of forest fire research, mainly in the field of forest fire monitoring, a lot of research and practical application. The forest fire detection and recognition system based on machine vision can effectively reduce the impact of forest fire, reduce the loss, and improve the real-time and accuracy of forest fire recognition.
