Please wait a minute...
img

官方微信

遥感技术与应用  2014, Vol. 29 Issue (1): 94-99    DOI: 10.11873/j.issn.1004-0323.2014.1.0094
遥感应用     
基于微波辐射计的海面溢油监测研究
王少波1,严卫1,艾未华1,王蕊1,刘天宁2
(1.解放军理工大学气象海洋学院,江苏 南京 211101;
2.解放军92538部队,辽宁 大连 116041)
Oil Spill Detection with Brigthnesstemperture of The AMSR-E
Wang Shaobo1,Yan Wei1,Ai Weihua1,Wang Rui1,Liu Tianning2
(1.Institute of Meteorology and Oceanography,PLA University of Science and Technology,Nanjing 211101,China;
2.Unit No.92538 of PLA,Liaoning,Dalian 116041,China)
 全文: PDF(2278 KB)  
摘要:

控制海面溢油对于保护环境和减少经济损失是非常重要的,监测海面溢油是遥感技术的一个重要应用方面。利用美国对地观测系统卫星EOS的AMSR\|E微波辐射计探测资料,结合阈值梯度算法和基于R-L分数阶微分梯度算子边缘提取算法,提出了基于微波辐射计的海面溢油监测算法,并以2010年发生在墨西哥湾的漏油事件为例,进行了溢油范围反演研究,得到了较好的实验验证结果。

关键词: AMSR-E溢油阈值梯度边缘提取    
Abstract:

Decreasing the risk of oil spill disasters is essential for protecting the environment and reducing economic losses.Advances in remote sensing technologies can help to identify parties potentially responsible for pollution and minor spills before they caused widespread damage.Oil spill surveillance are important aspects of the application of remote sensing technology.Utilizing NASA's Earth Observing System(EOS) AMSR\|E data,combined with the threshold gradient algorithm and R\|L based on fractional differential gradient operator edge extraction algorithm,this paper proposes sea surface oil spill surveillance algorithm based on microwave radiometer.And taking the oil spilling in the Gulf of Mexico as an example,the extent of oil spill is inverted,and get a better experimental results.The two algorithm of oil spills range inversion are simple,fast computing,and the effect are obvious.They are effective complement and improve SAR,Laser fluorosensors detection instruments.

Key words: AMSR-E    Oil spill    Edge sharpness    Edge extraction
收稿日期: 2012-11-27 出版日期: 2014-05-14
:  P 237  
基金资助:

国家自然科学基金资助项目(41076118)。

作者简介: 王少波(1987-),男,山东邹平人,硕士研究生,主要从事微波辐射计遥感研究。Email:wangshaobo1111@163.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  
王少波
严卫
艾未华
王蕊
刘天宁

引用本文:

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.

Wang Shaobo,Yan Wei,Ai Weihua,Wang Rui,Liu Tianning. Oil Spill Detection with Brigthnesstemperture of The AMSR-E. Remote Sensing Technology and Application, 2014, 29(1): 94-99.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2014.1.0094        http://www.rsta.ac.cn/CN/Y2014/V29/I1/94

[1]Galland F,Refregier P,Germain O.Synthetic Aperture Radar Oil Spill Segmentation Bystochastic Complexity Minimization[J].IEEE Geoscience and Remote Sensing Letters,2004,1(4):295-299.

[2]Karvonen J.Feature Detection from Preprocessed Sea Ice SAR Data based on Higher-order Statistics[C]//IEEE International Geoscience and Remote Sensing Symposium,IGRSS03,Melbourne,2003,6:3450-3452.

[3]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.〖HJ1.91mm〗

[4]Tello M,Bonastre R.Characterization of Local Regularity in SAR Imagery by Means of Multiscale Techniques:Application to Oil Spill Detection[C]//IEEE International Geoscience and Remote Sensing Symposium Barcelona,2007.

[5]Karvonen J,Heiler I,MSimila.Oil Spill Detection with RadarSat-1 in the Baltic Sea[C]//IEEE International Geoscience and Remote Sensing Symposium,Denver,2006.

[6]Frate F,Salvator L.Oil Spill Detection by Means of Neural Networks Algorithms:A Sensitivity Analysis[C]//IEEE International Geoscience and Remote Sensing Symposium Anchorage,2004.

[7]Liu Songtao,Zhang Honglei,Yan Wei.Applications of AMSR-E in Typhoon Analysis[J].Remote Sensing Technology and Application,2007,22(3):351-355.[刘松涛,张红雷,严卫.星载微波辐射计AMSR-E在台风分析中的应用[J].遥感技术与应用,2007,22(3):351-355.]

[8]Wang Zhenzhan,Li Yun.Geophysical Parameters Retrieving Algorithm of AMSR[J].Journal of Remote Sensing ,2009,13(3):355-362.[王振占,李芸.利用星载微波辐射计AMSR-E数据反演海洋地球物理参数[J].遥感学报,2009,13(3):363-370.]

[9]Martin S.An Introduction to Ocean Remote Sensing[M].Cambridge:Cambridge University Press,2004:44-46.

[10]National Snow &Ice Data Center.MSR-E/Aqua L2A Global Swath Spatially-Resampled Brightness Temperatures[EB/OL].http://nsidc.org/data/ae_l2a.html,2003.[11]Liu L,Sun X J,Chen F,et al.Cloud Classification based on Structure Features of Infrared Images[J].Journal of Atmospheric and Oceanic Technology,2010,3(28):410-417.

[12]Soille P.Morphological Image Analysis:Principles and Applications[M].New York:Springer-Verlag,Inc.2003:391.

[13]Otsu N.A Threshold Selection Method from Gray-level Histogram[J].IEEE Transactions on Systems,Man and Cybernetics,1979,9(1):62-66.

[14]Sonka M,Hlavac V,Boyle R.Image Processing,Analysis and Machine Vision[M].Milan Sonka:CL Engineering,2007.

[15]Yang Zhuzhong,Zhou Jiliu,Huang Mei,et al.Edge Detection based on Fractional Differential[J].Journal of Sichuan University (Engineering Science Edition).2008,40(1):152-157.[杨柱中,周激流,黄梅,等.基于分数阶微分的边缘检测[J].四川大学学报·工程科学版,2008,40(1):152-157.]

[16]Momani S,Ibrahim R.On a Fractional Integral Equation of Periodic Functions Involving WeylRiesz Operator in Banachalgebras[J].Journal of Mathmatical Analysis and Applications,2008,339(2):1210-1223.〖HJ1.92mm〗

[17]Ai Bigang,Luo Yining,Jiang Tao,et al.Application of Fractional-order Differential Gradient Operator in Image Enhancement[J].Journal of Sichuan University (Engineering Science Edition),2009,46(2):343-347.[艾必刚,罗以宁,蒋涛,等.分数阶微分梯度算子在图像增强中的应用[J].四川大学学报(自然科学版),2009,46(2):343-347.]

[18]Pu Y,Zhou J,Yuan X.Fractional Differential Mask:Afractional Differential-based Approach for Multiscale Texture Enhancement[J].IEEE Transactions on Image Processing,2010,19 (2):491-511.

[1] 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.
[2] 胡同喜,赵天杰,施建成,谷金枝. AMSR-E与AMSR2被动微波亮温数据交叉定标[J]. 遥感技术与应用, 2016, 31(5): 919-924.
[3] 邱玉宝,郭华东,石利娟,施建成. 基于AMSR-E的全球陆表被动微波发射率数据集[J]. 遥感技术与应用, 2016, 31(4): 809-819.
[4] 李梦云,黄方. 基于SPOT-VGT可见光/短波红外波段数据对AMSR-E土壤湿度的降尺度研究[J]. 遥感技术与应用, 2016, 31(2): 342-348.
[5] 陈洁,武胜利. MWRI与AMSR-亮温数据在极地冰盖区的对比分析[J]. 遥感技术与应用, 2014, 29(5): 752-760.
[6] 杨俊涛,蒋玲梅,潘金梅,张立新. 基于GOES静止气象卫星和AMSR-E雪盖融合监测方法研究[J]. 遥感技术与应用, 2013, 28(5): 920-927.
[7] 宋莎莎,赵宇鹏,苏腾飞,马佑军,安 伟,孟俊敏,赵朝方. 海上溢油SAR卫星遥感监测系统研发[J]. 遥感技术与应用, 2013, 28(5): 928-933.
[8] 李昂,陆其峰,杨晓峰,张建伟. AMSR-E卫星反演土壤湿度与ECWMF,NECP再分析土壤湿度比较分析[J]. 遥感技术与应用, 2013, 28(4): 666-673.
[9] 谢燕梅,晋锐,杨兴国. AMSR-E亮温监测中国近地表冻融循环算法研究[J]. 遥感技术与应用, 2013, 28(2): 182-191.
[10] 魏铼,胡卓玮. SAR影像海洋表面溢油检测方法与实现[J]. 遥感技术与应用, 2013, 28(1): 34-43.
[11] 何文英,陈洪滨,孙强,王旻燕. 青藏高原地表微波比辐射率的反演与分析[J]. 遥感技术与应用, 2011, 26(6): 735-741.
[12] 曹永攀,晋锐,韩旭军,李新. 基于MODIS和AMSR-E遥感数据的土壤水分降尺度研究[J]. 遥感技术与应用, 2011, 26(5): 590-597.
[13] 焦俊超,马安青,娄安刚,陈爽,杨少磊. GIS和Google Earth开发在溢油预测中的整合应用[J]. 遥感技术与应用, 2011, 26(2): 215-219.
[14] 李欣欣,张立新,蒋玲梅,赵少杰,赵天杰. 地形坡面对被动微波遥感影响的试验研究[J]. 遥感技术与应用, 2011, 26(1): 74-81.
[15] 杨 红, 唐泽艳. 基于NOAA18的渤海烟台海域溢油遥感研究[J]. 遥感技术与应用, 2010, 25(2): 216-220.