森林火灾探测的深度学习体系结构和有效性分析
Analysis of Deep Learning Architectures and Efficacy of Detecting Forest Fires
摘要：
本研究的目的是回顾计算机视觉在森林火灾扑救中的应用现状。我研究这一主题的动机来自于新参与者和利益相关者迫切需要这一领域的指导。这些新的利益相关者群体之一是缺乏领域专业知识的机器学习实践者。将这些新进入者引入特定领域的数据集和方法对于支持这一目标至关重要，因为一般的计算机视觉数据集不足以支持专门的研究计划。研究的总体目标是引入数据集和方法，使其更容易为社区所用。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
