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The wildfires that have raged across Australia for over three months have left an indelible impact on every state. In response, we have developed a multi-objective planning model and a fire monitoring model that are suitable for SSA (sub-Saharan Africa) unmanned aerial vehicles. These models provide assurance for fire prevention and timely understanding of fire front issues while also ensuring cost control.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jingxin Guo,Chaoqun Lv,Yu Cheng,Jikun Niu,Xiru Song,Zhonggeng Xie,Lijuan Fu, andZhe Zhang
"A multi-objective programming model that can monitor and feedback front line fires data based on UAV cruising", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 1297814 (23 January 2024); https://doi.org/10.1117/12.3021033
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Jingxin Guo, Chaoqun Lv, Yu Cheng, Jikun Niu, Xiru Song, Zhonggeng Xie, Lijuan Fu, Zhe Zhang, "A multi-objective programming model that can monitor and feedback front line fires data based on UAV cruising," Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 1297814 (23 January 2024); https://doi.org/10.1117/12.3021033