Forest Fire Detection via Feature Entropy Guided Neural Network

Guan, Zhenwei; Min, Feng; He, Wei; Fang, Wenhua; Lu, Tao

doi:10.3390/e24010128

Open AccessArticle

Forest Fire Detection via Feature Entropy Guided Neural Network

by

Zhenwei Guan

¹,

Feng Min

^1,*

,

Wei He

^2,*

,

Wenhua Fang

¹ and

Tao Lu

¹

Hubei Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430073, China

²

College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou 350108, China

^*

Authors to whom correspondence should be addressed.

Entropy 2022, 24(1), 128; https://doi.org/10.3390/e24010128

Submission received: 13 December 2021 / Revised: 10 January 2022 / Accepted: 11 January 2022 / Published: 15 January 2022

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Abstract

Forest fire detection from videos or images is vital to forest firefighting. Most deep learning based approaches rely on converging image loss, which ignores the content from different fire scenes. In fact, complex content of images always has higher entropy. From this perspective, we propose a novel feature entropy guided neural network for forest fire detection, which is used to balance the content complexity of different training samples. Specifically, a larger weight is given to the feature of the sample with a high entropy source when calculating the classification loss. In addition, we also propose a color attention neural network, which mainly consists of several repeated multiple-blocks of color-attention modules (MCM). Each MCM module can extract the color feature information of fire adequately. The experimental results show that the performance of our proposed method outperforms the state-of-the-art methods.

Keywords: forest fire detection; feature entropy; convolutional neural network

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MDPI and ACS Style

Guan, Z.; Min, F.; He, W.; Fang, W.; Lu, T. Forest Fire Detection via Feature Entropy Guided Neural Network. Entropy 2022, 24, 128. https://doi.org/10.3390/e24010128

AMA Style

Guan Z, Min F, He W, Fang W, Lu T. Forest Fire Detection via Feature Entropy Guided Neural Network. Entropy. 2022; 24(1):128. https://doi.org/10.3390/e24010128

Chicago/Turabian Style

Guan, Zhenwei, Feng Min, Wei He, Wenhua Fang, and Tao Lu. 2022. "Forest Fire Detection via Feature Entropy Guided Neural Network" Entropy 24, no. 1: 128. https://doi.org/10.3390/e24010128

APA Style

Guan, Z., Min, F., He, W., Fang, W., & Lu, T. (2022). Forest Fire Detection via Feature Entropy Guided Neural Network. Entropy, 24(1), 128. https://doi.org/10.3390/e24010128

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Forest Fire Detection via Feature Entropy Guided Neural Network

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