论文标题
OGINFRA：使用基于遥感的主动火数据对石油和天然气基础设施进行地理位置
OGInfra: Geolocating Oil & Gas Infrastructure using Remote Sensing based Active Fire Data
论文作者
论文摘要
遥感已成为我们日常生活的关键部分，无论是使用GPS进行三角剖分还是为我们提供天气预报。它在军事，社会经济，商业，甚至支持人道主义努力等领域中有多个应用。这项工作提出了一种新的技术，用于使用NASA公司数据存储库和深度学习技术的主动火灾数据自动地固定石油和天然气基础设施的地理位置；使用RESNET101，达到90.68％的最高准确度。
Remote sensing has become a crucial part of our daily lives, whether it be from triangulating our location using GPS or providing us with a weather forecast. It has multiple applications in domains such as military, socio-economical, commercial, and even in supporting humanitarian efforts. This work proposes a novel technique for the automated geo-location of Oil & Gas infrastructure with the use of Active Fire Data from the NASA FIRMS data repository & Deep Learning techniques; achieving a top accuracy of 90.68% with the use of ResNet101.
