Please wait a minute...
img

官方微信

遥感技术与应用  2016, Vol. 31 Issue (6): 1181-1189    DOI: 10.11873/j.issn.1004-0323.2016.6.1181
遥感应用     
Radarsat2全极化数据在监测南海溢油事件中的方法研究
孙景1,2,3,唐丹玲1,2,3,潘刚1
(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)
Detections of Oil Spills in the South China Sea Using Radarsat 2 Satellite Quad-polarization Data
Sun Jing1,2,3,Tang Dangling1,2,3,Pan Gang1
(1.State Key Laboratory of Tropical Oceanography,Research Center for Remote Sensing and
Marine Ecology & Environment,South China Sea Institute of Oceanology,Chinese Academy
of Sciences,Guangzhou 510301,China;
2.Collaborative Innovation Center for 21st Century Maritime Silk Road Studies,
Guangdong University of Foreign Studies,Guangzhou 510006,China;
3.University of Chinese Academy of Sciences,Beijing 100049,China)
 全文: PDF(14819 KB)  
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。

关键词: 合成孔径雷达Radarsat2全极化数据溢油去极化    
Abstract:

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:①Compare of three full-polarization filter methods by BOX,GAUSS,and LEE,and find LEE is the best;②Apply LEE filter and six polarization parameters to process the oil spill images;③Use 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.

 

Key words: SAR    Radarsat 2    Quad-polarization    Oil spills    Detection
收稿日期: 2015-11-09 出版日期: 2016-12-30
:  P 237  
基金资助:

"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)。

通讯作者: 唐丹玲(1959-),女,湖北武汉人,博士,教授, 主要从事海洋生态遥感研究。Email:Lingzistdl@126.com。   
作者简介: 孙景(1981-),男,安徽宿州人,博士研究生,主要从事海洋溢油遥感监测和生态响应研究。Email:sunjingrs@126.com。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
孙景
唐丹玲
潘刚

引用本文:

孙景,唐丹玲,潘刚. Radarsat2全极化数据在监测南海溢油事件中的方法研究[J]. 遥感技术与应用, 2016, 31(6): 1181-1189.

Sun Jing,Tang Dangling,Pan Gang. Detections of Oil Spills in the South China Sea Using Radarsat 2 Satellite Quad-polarization Data. Remote Sensing Technology and Application, 2016, 31(6): 1181-1189.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.6.1181        http://www.rsta.ac.cn/CN/Y2016/V31/I6/1181

[1]Guo Wei,Wang Ying.Navigation Route of Malacca Strait South China Sea and Modern-economic Development of China[J].Quaternary Sciences,2006,26 (3):485-490.[郭伟,王颖.马六甲海峡-南海航线与当代中国经济发展[J].第四纪研究,2006,26(3):485-490.]

[2]Yu Wenjin,Zhu Dakui.Research on Chinese Energy Safe Developing Strategy of South China Sea[J].World Regional Studies,2006,15 (4):11-16.[于文金,朱大奎.中国能源安全与南海开发[J].世界地理研究,2006,15 (4):11-16.]

[3]Sheng Y L,Tang D L,Pan G.Phytoplankton Bloom over the Northwest Shelf of Australia after the Montara Oil Spill in 2009[J].Geomatics Natural Hazards and Risk,2011,2(4):329-347.

[4]Pan G,Tang D L,Zhang Y Z.Satellite Monitoring of Phytoplankton in the East Mediterranean Sea after the 2006 Lebanon Oil Spill[J].International Journal of Remote Sensing,2012,33:7482-7490.

[5]Zhou Li,Tang DanLing,Sun Jing.Investigation of Marine Phytoplankton Blooms after the Oil Spills in the Seas[J].Ecological Science,2013, 32 (6): 692-702.[周利,唐丹玲,孙景.海洋溢油后浮游植物藻华观测分析和机制探讨[J].生态科学,2013,32(6):692-702.]

[6]Lü Songhui,Chen Hanlin.The Effects of Oil Spill on Marine Ecosystem[J].Ecological Science,2006,25  (4): 379-384.[吕颂辉,陈翰林.溢油对南海海洋生态系统的影响及珠江口溢油现状[J].生态科学,2006,25 (4):379-384.]

[7]Tang D L.Remote Sensing of the Changing Oceans[M].London:Springer,2011.

[8]Wang Shaobo,Yan Wei,Ai Weihua,et al.Oil Spill Detection with Brigthness Temperture and Application[J].Remote Sensing Technology and Application,2014,29(1):94-99.[王少波,严卫,艾末华,等.基于微波辐射的海面溢油监测研究[J].遥感技术与应用,2014,29(1):94-99.]

[9]Fu Mingsheng,Yang Xiaobo,Pi Yiming,et al.Polarization Radar Image Enhancement Theory[M].Beijing:Publishing House of Electoronics Industry,2008.[付毓生,杨晓波,皮亦鸣,等.极化雷达图像增强理论[M].北京:电子工业出版社,2008.]

[10]Ivanov,〖JP2〗Andrei,Yu.Remote Sensing of Oil Films in the Context of Glabal Changes[A]//Tang D L(Edi):Remote Sensing of the Change Oceans[M].London:Springer,2011.

[11]Wang Chao,Zhang Hong,Chen Xi,et al.Full Polarization Synthetic Aperture Radar Image Processing[M].Beijing:Science Press,2008.[王超,张红,陈曦,等.全极化合成孔径雷达图像处理[M].北京:科学出版社,2008.]

[12]Mott H.Remote Sensing with Polarimetric Radar[M].Beijing:National Defense Industry Press,2008.[魔特.极化雷达遥感[M].北京:国防工业出版社,2008.]

[13]Lee J S,Pottier E.Polarimetric Radar Imaging:From Basics to Applications[M].Beijing:Publishing House of Electoronics Industry,2013.[Jong-Sen Lee,Eric Pottier.极化雷达成像基础与应用[M].北京:电子工业出版社,2013.]

[14]Zhang Yanning,Li Ying.The Key Technology of SAR Image Processing[M].Beijing:Publishing House of Electoronics Industry,2014.[张艳宁,李映.SAR图像处理的关键技术[M].北京:电子工业出版社,2014.]

[15]Liu P,Li X F,Qu J,et al.Oil Spill Detection with Fully Polarimetric UAVSAR Data[J].Marine Pollution Bulletin,2011,62:2611-2618.

[16]Zhang B,Perrie W,Li X F,et al.Mapping Sea Surface Oil Slicks Using Radarsat-2[J].Geophysical Research Letters,2011,38 (L10602):1-5.

[17]He Jiaxiong,Zhu Youhai,Weng Rongnan,et al.Oil And Gas-leakage System And The Prospects for Oil And Gas-expl or Ation Yinggehai Basin[J].Journal of Southwest Petroleum University,2010,32(1):1-11.[何家熊,祝有海,翁荣南,等.莺歌海盆地油气渗漏系统及油气勘探前景[J].西南石油大学学报,2010,32(1):1-11.]

[18]Gonzalez R C,Woods R.Digital Image Processing[M].Beijing:Publishing House of Electoronics Industry,2012.

[19]Zeng Zifang,Pan Jianping.A Change Vector Analysis based on OSTU for Threshold[J].Geomatics & Spatial Information Technology,2013,36(3):51-55.[曾子芳,潘建平,基于大津法求阈值的变化矢量分析法[J].测绘与空间地理信息,2013,36(3):51-55.]

[1] 万玲,尤红建,程跃兵,卢晓军. 合成孔径雷达图像分割研究进展[J]. 遥感技术与应用, 2018, 33(1): 10-24.
[2] 熊伟,徐永力,姚力波,崔亚奇. 基于SVM的高分辨率SAR图像舰船目标检测算法[J]. 遥感技术与应用, 2018, 33(1): 119-127.
[3] 谢亚楠,周明亮,刘志坤. 合成孔径雷达反演降雨量算法的研究进展[J]. 遥感技术与应用, 2017, 32(4): 624-633.
[4] 李海英,温卫斌,王芳,付强,肖媛. 表层穿透雷达在月球与深空探测应用中的研究进展及趋势[J]. 遥感技术与应用, 2017, 32(4): 634-642.
[5] 姜萍,刘修国,陈启浩,邵芳芳. 利用多尺度SVM-CRF模型的极化SAR图像建筑物提取[J]. 遥感技术与应用, 2017, 32(3): 475-482.
[6] 张祥,陈报章,赵慧,汪磊. 基于时序Sentinel-1A数据的农田土壤水分变化检测分析[J]. 遥感技术与应用, 2017, 32(2): 338-345.
[7] 袁春琦,徐佳,程圆娥,陈媛媛,许康. 基于协同训练与集成学习的极化SAR图像半监督分类[J]. 遥感技术与应用, 2017, 32(2): 380-385.
[8] 李兰,陈尔学,李增元,冯琦,赵磊. 合成孔径雷达森林树高和地上生物量估测研究进展[J]. 遥感技术与应用, 2016, 31(4): 625-633.
[9] 林岳峰,柳钦火,李静,赵静. 最小二乘法联合光学与雷达遥感数据估算玉米叶面积指数[J]. 遥感技术与应用, 2016, 31(4): 691-701.
[10] 李婷,程博,尤淑撑. 基于半监督鉴别分析的高分辨率SAR影像建筑区提取[J]. 遥感技术与应用, 2016, 31(2): 239-246.
[11] 孙建勇,车 涛,段克勤,戴礼云. 冰沟流域积雪面积比例与雪水当量关系初探[J]. 遥感技术与应用, 2015, 30(6): 1085-1094.
[12] 蒋少峰,王超,吴樊,张波,汤益先,张红. 基于结构特征分析的COSMO-SkyMed图像商用船舶分类算法[J]. 遥感技术与应用, 2014, 29(4): 607-615.
[13] 李文梅,李增元,陈尔学,孙晗伟,王馨爽. 极化相干层析反演森林垂直结构原理与方法研究[J]. 遥感技术与应用, 2014, 29(2): 232-239.
[14] 吴樊,王超,张波,张红,田小娟. SAR图像船只分类识别研究进展[J]. 遥感技术与应用, 2014, 29(1): 1-8.
[15] 王少波,严卫,艾未华,王蕊,刘天宁. 基于微波辐射计的海面溢油监测研究[J]. 遥感技术与应用, 2014, 29(1): 94-99.