scholarly journals A Fire Detection Algorithm Based on Tchebichef Moment Invariants and PSO-SVM

Algorithms ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 79 ◽  
Author(s):  
Yongming Bian ◽  
Meng Yang ◽  
Xuying Fan ◽  
Yuchao Liu
Keyword(s):  
Fire Detection ◽  
Detection Algorithm ◽  
Moment Invariants ◽  
Tchebichef Moment

Image fire detection algorithm based on support vector machine

2010 ◽  
Vol 30 (4) ◽  
pp. 1129-1131
Author(s):  
Na-juan YANG ◽  
Hui-qin WANG ◽  
Zong-fang MA
Keyword(s):  
Support Vector Machine ◽  
Fire Detection ◽  
Detection Algorithm ◽  
Support Vector

scholarly journals Early smoke detection of forest fires based on SVM image segmentation

2019 ◽  
Vol 65 (No. 4) ◽  
pp. 150-159
Author(s):  
Ding Xiong ◽  
Lu Yan
Keyword(s):  
Image Segmentation ◽  
Forest Fire ◽  
Forest Fires ◽  
Fire Detection ◽  
Detection Algorithm ◽  
Support Vector ◽  
Smoke Detection ◽  
Large Space ◽  
Merging Algorithm ◽  
Detection Technology

A smoke detection method is proposed in single-frame video sequence images for forest fire detection in large space and complex scenes. A new superpixel merging algorithm is further studied to improve the existing horizon detection algorithm. This method performs Simple Linear Iterative Clustering (SLIC) superpixel segmentation on the image, and the over-segmentation problem is solved with a new superpixel merging algorithm. The improved sky horizon line segmentation algorithm is used to eliminate the interference of clouds in the sky for smoke detection. According to the spectral features, the superpixel blocks are classified by support vector machine (SVM). The experimental results show that the superpixel merging algorithm is efficient and simple, and easy to program. The smoke detection technology based on image segmentation can eliminate the interference of noise such as clouds and fog on smoke detection. The accuracy of smoke detection is 77% in a forest scene, it can be used as an auxiliary means of monitoring forest fires. A new attempt is given for forest fire warning and automatic detection.

Forest Fire Detection Algorithm Based on Digital Image

2013 ◽  
Vol 8 (8) ◽  
Author(s):  
Rui Chen ◽  
Yuanyuan Luo ◽  
Mohanmad Reza Alsharif
Keyword(s):  
Forest Fire ◽  
Digital Image ◽  
Fire Detection ◽  
Detection Algorithm ◽  
Forest Fire Detection

scholarly journals A contextual fire detection algorithm based on observation geometry for HJ-1B-IRS

2012 ◽  
Vol 30 (2) ◽  
pp. 104-108
Author(s):  
Bao-Hua HE ◽  
Liang-Fu CHEN ◽  
Jin-Hua TAO ◽  
Lin SU ◽  
Zi-Feng WANG ◽  
...  
Keyword(s):  
Fire Detection ◽  
Detection Algorithm ◽  
Observation Geometry

An efficient fire detection algorithm based on multi‐scale convolutional neural network

2021 ◽  
Author(s):  
Yanying Cheng ◽  
Ke Chen ◽  
Hui Bai ◽  
Chunjie Mou ◽  
Yuchun Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Fire Detection ◽  
Detection Algorithm ◽  
Multi Scale
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