Study on Calculating Methods of Forest Fire Area for Dynamic Disaster Assessment Based on Infrared Image

被引:0
|
作者
Tian Si [1 ]
Wang Yong [2 ]
Cai Tongchen [2 ]
机构
[1] Ningbo Dahongying Univ, Coll Informat Engn, Ningbo 315000, Zhejiang, Peoples R China
[2] East China Univ Technol, Sch Mech & Elect Engn, Nanchang 330013, Jiangxi, Peoples R China
关键词
Forest fire prevention; Infrared image; Image segmentation; Calculation;
D O I
10.1117/12.2285847
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
According to the characteristics of forest fire spread fast, difficult to save, in order to determine the forest fire danger rating quickly and strive for fire time, it is important to calculate the fire area. Considering that there is a close relationship between the gray image of infrared image with temperature, the gray value of infrared image corresponds to high temperature object will be large. At the same time fire occurs, the temperature of the flame is generally higher than the temperature of the surrounding environment, infrared image can be used to exclude a lot of non-fire interference source and provides a simple and convenient criterion for the identification and segmentation of flame area, so this paper presents a calculation method of fire area based on infrared image. The method take full advantage of the significant characteristics of the obtained forest fire infrared image, the coordinate relationship between the image and the camera is established and the camera is calibrated. Then extract the edge of the forest fire spread, utilizing sobel operator rough location, and then grayscale image interpolation, cubic spline interpolation function so that the target to achieve sub-pixel level grayscale images after interpolation, the use of the maximum variance between the threshold is determined to achieve sub-pixel edge detection. The edge of the forest fire spread is extracted, with images used to calculate the forest fire burned area, with the error of measuring result calculated. The results show that the maximum error is controlled within 4.5%. Therefore, the forest fire area calculation methods can be applied to the fire control and post-disaster assessment of forest fire. The method is feasible and convenient calculation and will be of great significance to the forest-fire prevention.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] The technology of forest fire detection based on infrared image
    Wu Zhi-guo
    Liu Guo-juan
    Wang Ming-jia
    Wang Suo-jian
    INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2013: INFRARED IMAGING AND APPLICATIONS, 2013, 8907
  • [2] Disaster Assessment Algorithm after Forest Fire Based on GIS
    Xu, Aijun
    Ma, Minghui
    FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS, 2008, : 241 - +
  • [3] An image segmentation approach of forest fire area based on aerial image
    School of Technology, Beijing Forestry University, Beijing 100083, China
    J. Theor. Appl. Inf. Technol., 1 (207-211): : 207 - 211
  • [4] Grid based dynamic risk assessment for grassland fire disaster in Hulunbuir
    Qi Zhang
    Liang Cui
    Jiquan Zhang
    Xingpeng Liu
    Zhijun Tong
    Stochastic Environmental Research and Risk Assessment, 2015, 29 : 589 - 598
  • [5] Grid based dynamic risk assessment for grassland fire disaster in Hulunbuir
    Zhang, Qi
    Cui, Liang
    Zhang, Jiquan
    Liu, Xingpeng
    Tong, Zhijun
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2015, 29 (02) : 589 - 598
  • [6] Forest Fire Disaster Area Prediction Based on Genetic Algorithm and Support Vector Machine
    Xiao, Fang
    TRENDS IN CIVIL ENGINEERING, PTS 1-4, 2012, 446-449 : 3037 - 3041
  • [7] Forest Fire Monitoring Method Based on UAV Visual and Infrared Image Fusion
    Liu, Yuqi
    Zheng, Change
    Liu, Xiaodong
    Tian, Ye
    Zhang, Jianzhong
    Cui, Wenbin
    REMOTE SENSING, 2023, 15 (12)
  • [8] Assessment of methods for calculating fire resistance of a steel beam
    Skejic, Davor
    Rogic, Ivana
    Situm, Ana
    Lange, David
    Bostrom, Lars
    GRADEVINAR, 2018, 70 (03): : 159 - 169
  • [9] Forest Fire Damage Assessment Using Object Based Image Analysis
    Kugu, Emin
    Kisa, Akin
    2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2014, : 1782 - 1785
  • [10] Forest Fire Thermal Infrared Image Segmentation Based on K-V Model
    Yang, Bin
    Pan, Haiwei
    He, Shuning
    Han, Kun
    Zhao, Xuecheng
    PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2021, : 1275 - 1280