论文标题
深度学习体系结构的分析和检测森林火灾的功效
Analysis of Deep Learning Architectures and Efficacy of Detecting Forest Fires
论文作者
论文摘要
这项研究的目的是回顾用于打击森林大火的计算机视觉状态。我研究这个主题的动机来自新参与者和利益相关者在该领域需要指导的紧迫性。这些新利益相关者群体之一是缺乏领域专业知识的机器学习的从业者。将这些新进入者引入特定的数据集和方法对于支持此目标至关重要，因为一般计算机视觉数据集不足以支持专业的研究计划。该研究的总体目的是介绍数据集和方法，以使其更容易被社区访问。
The aim of this research is to review the state of computer vision as applied to combatting forest fires. My motivation to research this topic comes from the urgency with which new participants and stakeholders require guidance in this field. One of these new stakeholder groups are practitioners of machine learning that lack domain expertise. Introducing these new entrants to domain specific datasets and methods is critical to supporting this aim as general computer vision datasets are insufficient to support specialized research initiatives. The overarching aim of the research is to introduce datasets and methods to make them more accessible to the community.
