Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 5, 147(2024)

Real-Time Fire Detection by Cascading Traditional Approaches with Deep Learning

Wenzhuo WANG1, Chenglong MA2, Guanlin WANG1, Yiming ZHANG1, Fangxiong TAN2、*, Xu HAN3, and Lei WU3
Author Affiliations
  • 1State Grid Gansu Electric Power Company, Lanzhou 730000, China
  • 2State Grid Gansu Electric Power Company Jiuquan Power Supply Company, Jiuquan 735000, China
  • 3Beijing Deep Blue Space Remote Sensing Technology Co., Ltd., Beijing 100020, China
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    References(20)

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    [10] [10] ZHANG Y, HE B, KONG P, et al. Near RealTime Wildfire Detection in Southwestern China Using Himawari8 Data[C]2021 IEEE International Geoscience Remote Sensing Symposium IGARSS, July 1116, 2021, Brussels, Belgium. IEEE, 2021: 84168419.

    [11] [11] LI Z, WANG Y, LIANG S. When Convolutional Neural wks Meet Remote Sensing Data f Fire Detection[C]Journal of Physics: Conference Series. IOP Publishing, 2021, 1914(1): 012002.

    [15] XIANG D, ZHANG X, WU W et al. DensePPMUNet-a: A Robust Deep Learning Network for Segmenting Water Bodies from Aerial Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-11(2023).

    [22] CHEN J, ZHENG W, WU S et al. Fire Monitoring Algorithm and Its Application on the Geo-kompsat-2A Geostationary Meteorological Satellite[J]. Remote Sensing, 14, 2655(2022).

    [23] DI BIASE V, LANEVE G. Geostationary Sensor Based Forest Fire Detection and Monitoring: An Improved Version of the SFIDE Algorithm[J]. Remote Sensing, 10, 741(2018).

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    Wenzhuo WANG, Chenglong MA, Guanlin WANG, Yiming ZHANG, Fangxiong TAN, Xu HAN, Lei WU. Real-Time Fire Detection by Cascading Traditional Approaches with Deep Learning[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(5): 147

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    Paper Information

    Category:

    Received: Nov. 24, 2023

    Accepted: --

    Published Online: Nov. 13, 2024

    The Author Email: Fangxiong TAN (2449702060@qq.com)

    DOI:10.3969/j.issn.1009-8518.2024.05.014

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