留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于SAR的海上溢油监测最佳探测参数分析

邹亚荣 梁超 陈江麟 崔松雪 郎姝燕

邹亚荣, 梁超, 陈江麟, 崔松雪, 郎姝燕. 基于SAR的海上溢油监测最佳探测参数分析[J]. 海洋学报, 2011, 33(1): 36-44.
引用本文: 邹亚荣, 梁超, 陈江麟, 崔松雪, 郎姝燕. 基于SAR的海上溢油监测最佳探测参数分析[J]. 海洋学报, 2011, 33(1): 36-44.
ZOU Ya-rong, LIANG Chao, CHEN Jiang-lin, CUI Song-xue, LANG Shu-yan. An optimal parametric analysis of monitormg oil spill based on SAR[J]. Haiyang Xuebao, 2011, 33(1): 36-44.
Citation: ZOU Ya-rong, LIANG Chao, CHEN Jiang-lin, CUI Song-xue, LANG Shu-yan. An optimal parametric analysis of monitormg oil spill based on SAR[J]. Haiyang Xuebao, 2011, 33(1): 36-44.

基于SAR的海上溢油监测最佳探测参数分析

基金项目: 国家海洋局国家海洋监测中心海洋溢油鉴别与损害评估技术国家海洋局重点实验室2010年度开放基金"基于SAR散射的海上溢油检测算法研究"海洋公益项目;溢油遥感监测信息自动提取技术研究及其业务化应用示范(200705018)。

An optimal parametric analysis of monitormg oil spill based on SAR

  • 摘要: 基于SAR数据,在后向散射系数计算的基础上,从波段、极化方式、入射角等方面开展了海上溢油监测参数分析,结果表明:基于SAR的海上溢油监测,从波段分析,X波段与C波段较L波段更适合监测海上溢油;从极化方式分析,VV极化较HH,HV极化更适合监测海上溢油;从入射角分析,在计算溢油与海水临界值时,经多次实验,位于远入射角的疑似溢油不易与海水分离,而相对近入射角的疑似溢油较容易与海水分离。ALOS PALSAR影像的入射角约为23°~43°,COSMO-SlyMed入射角为32°~35°,易于将海水与溢油分离的入射角大致为23°~35°。
  • SOLBERG A H S, DOKKEN T, SOLBERG R.Automatic detection of oil spills in Envisat, Radarsat and Ers SAR images //IEEE International Geoscience and Remote Sensing Symposium, No.4, 2003, IGARSS’03,2003:2747-2749.
    SOLBERG A H S, BREKKE C, SOLBERG R.Algorithms for oil spill detection in Radarsat and ENVISAT SAR images //IEEE International Geoscience and Remote Sensing Symposium, No.7, 2004, IGARSS.2004:4909-4912.
    SOLBERG A H S, BREKKE C, HUSOY P O.Oil spill detection in Radarsat and ENVISAT SAR Images[J].IEEE Transactions on Geoscience and Remote Sensing,2007,45(3):746-755.
    BREKKE C, SOLBERG A H S.Classifiers and confidence estimation for oil spill detection in ENVISAT ASAR images[J].IEEE Transactions on Geoscience and Remote Sensing,2008,5(1):65-69.
    FISCELLA B, GIANCASPRO A, NIRCHIO F, et al.Oil spill detection using marine SAR images[J].International Journal of Remote Sensing,2000,21(18):3561-3566.
    NIRCHIO F, SORGENTE M, GIANCASPRO A, et al.Automatic detection of oil spills from SAR images[J].International Journal of Remote Sensing,2005,26(6):1157-1174.
    FRATE F D, PETROCCHI A, LICHTENEGGER J, et al.Neural networks for oil spill detection using ERS-SAR data[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2282-2287.
    TOPOUZELIS K, SOLBERG A H S, PAVLAKIS V, et al.Detection and discrimination between oil spills and look-alike phenomena through neural networks[J].ISPRS Journal of Photogrammetry & Remote Sensing,2007,62(2007):264-270.
    HUANG B, LI H, HUANG X.A level set method for oil slick segmentation in SAR images[J].International Journal of Remote Sensing,2005,26(6):1145-1156.
    GAMBARDELLA A, NUNZIATA F, MIGLIACCIO M.Oil spill observation by means of co-polar phase difference //Proc POLinSAR.2003:14-16.
    FORTUNY-GUASCH J.Improved oil slick detection and classification with polarimetric SAR .http://earth.esa.int/workshops/polinsar2003/participants/fortuny-guasch21/fortuny.pdf.
    MIGLIACCIO M, GAMBARDELLA A, TRANFAGLIA M.SAR polarimetry to observe oil spills[J].IEEE Transactions on Geoscience and Remote Sensing,2007,45(2):506-511.
    KASILINGAM D.Polarimetric radar signatures of oil slicks for measuring slick thickness[J].Conference Proceedings of the Second Topical Symposium on Combined Optical-Microwave Earth and Atmosphere Sensing.1995,3(6):94.
    苏伟光. 海洋卫星遥感溢油监测技术与应用研究 .长沙:中南大学,2008.
    石立坚. SAR 及 MODIS 数据海面溢油监测方法研究 .青岛:中国海洋大学,2008.
    黄晓霞, 李红旮, 朱振海.基于不变矩的SAR图象海面油膜形态分类[J].中国图象图形学报,1999,4(2):166-171.
    COSMO-SkyMed SAR Products Handbook . Italian Space Agency COSMO-SkyMed Mission.
    PALSAR FAQ Document. IDEAS QC PALSAR Team.ESRIN Contract No.20700/07/I-OL.May 2009 . http://earth.eo.esa.int/pcs/alos/palsar/userinfo/.
    田维.海面油膜雷达遥感检测机理与方法研究 .北京:中国科学院遥感应用研究所,2009.
  • 加载中
计量
  • 文章访问数:  3349
  • HTML全文浏览量:  5
  • PDF下载量:  2783
  • 被引次数: 0
出版历程
  • 收稿日期:  2010-08-10

目录

    /

    返回文章
    返回