Identification of Offshore Oil and Gas Drilling Platforms Based on Multi-source Remote Sensing Data

Caihong Ma, L. Guan, Dacheng Wang
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Abstract

The ocean is rich in oil and natural gas. The struggle for maritime rights and interests is becoming increasingly fierce. High temporal and spatial dynamic monitoring of offshore oil and gas drilling platforms has becoming important for comprehensive understanding of regional resource exploitation and development. In this paper, multi-source remote sensing satellite data are applied to the identification of offshore oil and gas platforms. And, an intelligent identification model of offshore oil and gas drilling platforms based on multi-source data is proposed. Firstly, the target area of offshore oil and gas platforms were first identified by ‘Flint’ annual NPP-VIIRS night-time light data. Then, they were accurately identified by combining the characteristics of multi temporal Sentinel-1 data. Finally, they were verified by combining multi-source high-resolution remote sensing satellite data. In this paper, the model was applied on the eastern sea area of Vietnam. And 75 platforms were rightly detected.
基于多源遥感数据的海洋油气钻井平台识别
海洋中蕴藏着丰富的石油和天然气。海洋权益之争日趋激烈。海洋油气钻井平台的高时空动态监测对全面认识区域资源开发具有重要意义。本文将多源遥感卫星数据应用于海上油气平台的识别。在此基础上,提出了一种基于多源数据的海上油气钻井平台智能识别模型。首先,海上油气平台的目标区域首先由“Flint”年度NPP-VIIRS夜间灯光数据确定。然后,结合Sentinel-1多时段数据特征,对其进行准确识别。最后,结合多源高分辨率遥感卫星数据进行验证。本文将该模型应用于越南东部海域。正确地发现了75个平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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