Radarsat2全极化数据在监测南海溢油事件中的方法研究  被引量:1

Detections of Oil Spills in the South China Sea Using Radarsat 2 Satellite Quad-polarization Data

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作  者:孙景[1,2,3] 唐丹玲[1,2,3] 潘刚[1] 

机构地区:[1]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,广东广州510301 [2]21世纪海上丝绸之路协同创新中心,广东外语外贸大学,广东广州510006 [3]中国科学院大学,北京100049

出  处:《遥感技术与应用》2016年第6期1181-1189,共9页Remote Sensing Technology and Application

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)

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。In recent years, oil spill events in the oceans have been increasing, mainly caused by oil exploration and tank transportation.It has become one of the key environmental issues in the world.This study uses the full-polarization data of Radarsat2 to detect onshore oil spills in the northern part of the South China Sea (SCS).The data was processed by three steps:(1)Compare of three full-polarization filter methods by BOX, GAUSS,and LEE,and find LEE is the best;(2)Apply LEE filter and six polarization parameters to process the oil spill images; (3)Use the threshed method to determine the scope and estimate the area. The result show that LEE filter is the best, the depolarization-index parameter is best. Otsu is selected to determine the scope and estimate oil spills affected area.This study show:the key of process image is to elect effect polarization parameters;the depolarization-index is the best parameter, it not only further remove speckle but also effect distinguish oil spills and the ocean water for next step extract oil spills.

关 键 词:合成孔径雷达 Radarsat2 全极化数据 溢油 去极化 

分 类 号:P237[天文地球—摄影测量与遥感]

 

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