[1] A ROSTAMI, R SHAH-HOSSEINI, S ASGARI et al. Active Fire Detection from Landsat-8 Imagery Using Deep Multiple Kernel Learning. Remote Sensing, 14, 992(2022).
[2] A GONG, J LI, Y CHEN. A Spatio-Temporal Brightness Temperature Prediction Method for Forest Fire Detection with MODIS Data: A Case Study in San Diego. Remote Sensing, 13, 2900(2021).
[3] POURSHAKOURI F, DARVISHSEFAT A A, SAMADZADEGAN F, et al. An Improved Algithm f Small Lowintensity Fire Detection in the Temperate Deciduous Fests Using MODIS Data: A Preliminary Study in the Caspian Fests of Nthern Iran[J]. Natural Hazards, 2023, 116(2): 25292547.
[4] PU R, GONG P, LI Z, et al. A Dynamic Algithm f Wildfire Mapping with NOAAAVHRR Data[J]. International Journal of Wildl Fire, 2004, 13(3): 275285.
[5] S PLANK, E M FUCHS, C FREY. A Fully Automatic Instantaneous Fire Hotspot Detection Processor Based on AVHRR Imagery—A TIMELINE Thematic Processor. Remote Sensing, 9, 30(2017).
[6] W SCHROEDER, P OLIVA, L GIGLIO et al. The New VIIRS 375 m Active Fire Detection Data Product: Algorithm Description and Initial Assessment. Remote Sensing of Environment, 143, 85-96(2014).
[7] P BARMPOUTIS, P PAPAIOANNOU, K DIMITROPOULOS et al. A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing. Sensors, 20, 6442(2020).
[8] F CARTA, C ZIDDA, M PUTZU et al. Advancements in Forest Fire Prevention: A Comprehensive Survey. Sensors, 23, 6635(2023).
[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] 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.
[12] Z HONG, Z TANG, H PAN et al. Active Fire Detection Using a Novel Convolutional Neural Network Based on Himawari-8 Satellite Images. Frontiers in Environmental Science, 10, 794028(2022).
[13] C LIU, S YANG, D DI et al. A Machine Learning-based Cloud Detection Algorithm for the Himawari-8 Spectral Image. Advances in Atmospheric Sciences, 39, 1994-2007(2022).
[14] L GIGLIO, W SCHROEDER, C O JUSTICE. The Collection 6 MODIS Active Fire Detection Algorithm and Fire Products. Remote Sensing of Environment, 178, 31-41(2016).
[15] D XIANG, X ZHANG, W WU et al. DensePPMUNet-a: A Robust Deep Learning Network for Segmenting Water Bodies from Aerial Images. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-11(2023).
[17] L GIGLIO, J DESCLOITRES, C O JUSTICE et al. An Enhanced Contextual Fire Detection Algorithm for MODIS. Remote Sensing of Environment, 87, 273-282(2003).
[18] C DING, X ZHANG, J CHEN et al. Wildfire Detection through Deep Learning Based on Himawari-8 Satellites Platform. International Journal of Remote Sensing, 43, 5040-5058(2022).
[19] D GUIDICI, M L CLARK. One-Dimensional Convolutional Neural Network Land-cover Classification of Multi-seasonal Hyperspectral Imagery in the San Francisco Bay Area, California. Remote Sensing, 9, 629(2017).
[21] Z DENG, G ZHANG. An Improved Forest Fire Monitoring Algorithm with Three-Dimensional Otsu. IEEE Access, 9, 118367-118378(2021).
[22] J CHEN, W ZHENG, S WU et al. Fire Monitoring Algorithm and Its Application on the Geo-kompsat-2A Geostationary Meteorological Satellite. Remote Sensing, 14, 2655(2022).
[23] BIASE V DI, G LANEVE. Geostationary Sensor Based Forest Fire Detection and Monitoring: An Improved Version of the SFIDE Algorithm. Remote Sensing, 10, 741(2018).