Forest Fire Monitoring System Based on Deep Neural Network

Authors

  • Zhuangzhuang Gu

Abstract

-Forest fires not only damage properties, but also bring casualties to nearby residents. It becomes
more and more important to monitor and even prevent forest fires at the beginning. With the development of
various monitoring approaches, including remote sensing satellites, cameras, unmanned aerial vehicles, etc.,
we now possess more technical means to monitor the forest. Meanwhile, the collection of large amounts of
data also puts a higher demand on the processing speed and accuracy. In recent years, with the rise of artificial
intelligence technology represented by deep neural networks, researchers began to apply deep neural networks
in forest fire monitoring systems and have achieved better classification and prediction results than traditional
methods. In this paper, we review the deep neural network-based forest fire monitoring system, from the
perspectives of input data types, methods, and effects. Based on the review, we will point out some further
research directions.

Published

2020-03-31

Issue

Section

Articles