Radarsat2全极化数据在监测南海溢油事件中的方法研究

发布时间：2017-12-26 16:19

本文关键词：Radarsat2全极化数据在监测南海溢油事件中的方法研究　出处：《遥感技术与应用》2016年06期 　论文类型：期刊论文

【摘要】：近年由于海上石油运输、开采和事故,溢油事件不断增加、已成为全球普遍关注的重大环境问题。分析了Radarsat2卫星全极化数据在监测南海北部溢油事件中的应用,比较了3种滤波技术对相干斑的抑制,结果显示LEE滤波法最佳,继而选用LEE滤波对影像进行全极化处理。比较了6种参数处理方法,发现极化函数参数的去极化指数(Depolarisation-index)处理后的影像对溢油和海水区分效果最佳,并可以更好地避免相干斑影响。在此基础上,利用大津法阈值准确提取溢油范围并估算溢油面积。研究表明:在利用Radarsat2卫星全极化数据观测溢油时,通过LEE滤波、去极化指数处理和大津法阈值3个步骤提取溢油范围并估算溢油面积是有效快捷的方法。
[Abstract]:In recent years, due to the oil transportation, mining and accidents at sea, the oil spill has been increasing, and it has become a major environmental problem in the world. The application of Radarsat2 satellite full polarization data in monitoring the oil spill in the northern part of the South China Sea is analyzed. The suppression of speckle by 3 filtering technologies is compared. The results show that the LEE filtering method is the best, and then the LEE filter is applied to polarize the image. 6 parameter processing methods are compared. It is found that the depolarization index (Depolarisation-index) of polarization function parameters has the best effect on oil spill and seawater discrimination, and can better avoid speckle effect. On this basis, using the Otsu threshold to accurately extract and estimate the extent of oil spill oil spill area. The results show that: in the use of Radarsat2 satellite polarimetric observation data of oil spill, through LEE filtering, polarization index and Otsu threshold 3 steps extraction of oil spill and estimate the size of the oil spill is a rapid and effective method.
【作者单位】：中国科学院南海海洋研究所热带海洋环境国家重点实验室海洋生态环境遥感中心;21世纪海上丝绸之路协同创新中心广东外语外贸大学;中国科学院大学;
【基金】：“原油远洋运输优化与遥感监测技术研究”项目(313099) 21世纪海上丝绸之路协同创新中心重大项目(2015HS05)
【分类号】：X55;X87
【正文快照】： 3.中国科学院大学,北京100049)1引言“海上丝绸之路”是我国进行海外贸易的重要通道。随着“一带一路”战略的实施,沿“海上丝路”的经贸活动日益频繁,给沿途带来的环境压力需要给予更多关注。南海是经马六甲海峡、通往印度洋、连接东南亚、南亚、西亚和非洲、欧洲的海上丝路

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