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基于极化散射特征的极化合成孔径雷达海冰分类方法研究:以渤海海冰分类为例

张晰 张杰 孟俊敏 苏腾飞 刘眉洁

张晰, 张杰, 孟俊敏, 苏腾飞, 刘眉洁. 基于极化散射特征的极化合成孔径雷达海冰分类方法研究:以渤海海冰分类为例[J]. 海洋学报, 2013, 35(5): 95-101. doi: 10.3969/j.issn.0253-4193.2013.05.010
引用本文: 张晰, 张杰, 孟俊敏, 苏腾飞, 刘眉洁. 基于极化散射特征的极化合成孔径雷达海冰分类方法研究:以渤海海冰分类为例[J]. 海洋学报, 2013, 35(5): 95-101. doi: 10.3969/j.issn.0253-4193.2013.05.010
ZHANG Xi, ZHANG Jie, MENG Junmin, SU Tengfei, LIU Meijie. Polarimetric scattering characteristics based sea ice types classification by polarimetric synthetic aperture radar:taking sea ice in the Bohai Sea for example[J]. Haiyang Xuebao, 2013, 35(5): 95-101. doi: 10.3969/j.issn.0253-4193.2013.05.010
Citation: ZHANG Xi, ZHANG Jie, MENG Junmin, SU Tengfei, LIU Meijie. Polarimetric scattering characteristics based sea ice types classification by polarimetric synthetic aperture radar:taking sea ice in the Bohai Sea for example[J]. Haiyang Xuebao, 2013, 35(5): 95-101. doi: 10.3969/j.issn.0253-4193.2013.05.010

基于极化散射特征的极化合成孔径雷达海冰分类方法研究:以渤海海冰分类为例

doi: 10.3969/j.issn.0253-4193.2013.05.010
基金项目: 国家自然科学基金——多维度微波成像的海洋遥感应用研究(60890075);国家自然科学基金——多时相SAR渤海薄冰厚度探测研究(40906093);中欧龙计划二期项目(5290)。

Polarimetric scattering characteristics based sea ice types classification by polarimetric synthetic aperture radar:taking sea ice in the Bohai Sea for example

  • 摘要: 海冰监视监测的关键是提取海冰类型,准确提取海冰类型对于评估海冰冰情、保证航海及海洋作业安全具有重要的意义。利全极化合成孔径雷达影像(SAR)的优势,提取海冰的极化散射特征;在此基础上结合二叉树分类思想,开展极化SAR海冰类型的分类算法研究,提高SAR海冰分类精度;与传统的海冰分类方法相比较,验证了本方法的有效性。
  • 杨国金. 海冰工程学[M]. 北京:石油工业出版社,2000.
    Scheuchl B,Caves R.,Cumming I,et al. Automated sea ice classification using spaceborne polarimetric SAR data[J]. IEEE International Geoscience and Remote Sensing Symposium,2001,VII:3117—3119.
    Scheuchl B,Hajnsek I,Cumming I. Sea ice classification using multi-frequency polarimetric SAR data[J]. IEEE International Geoscience and Remote Sensing Symposium,2002,IV:1914—1916.
    Wakabayashi H,Matsuoka T,Nakamura K,et al. Polarimetric characteristics sea ice in the sea of okhotsk observed by airborne L-Band SAR[J]. IEEE Trans. Geosci Remote Sensing,2004,42(11):2412-2425.
    Arkett M,Flett D,Abreu R D,et al. Evaluating ALOS-PALSAR for ice monitoring-What can L-band do for the North American ice service ? [J]. IEEE International Geoscience and Remote Sensing Symposium,2008, V:188-191.
    纪永刚,张杰,孟俊敏. 辽东湾海冰类型SAR响应分析[J]. 遥感技术与应用,2007,22(2):195—199.
    纪永刚,张杰,孟俊敏. 基于PCNN的海冰SAR图像分类系统 [J]. 高技术通讯,2008,18 (2):190—195.
    张晰,张杰,纪永刚. 基于纹理特征分析的辽东湾SAR影像海冰检测[J].海洋科学进展,2008,26(3):386—393.
    Lee J S, Pottier E. Polarimetric Radar Imaging: From Basics to Applications[S], Boca Raton, FL: CRC Press, 2009.
    IEEE Antennas and Propagation Society. 149-1979 IEEE Standard Test Procedures for Antennas [S]. 1979.
    Borgeaud M,Noll J. Analysis of theoretical surface scattering models for polarimetric microwave remote sensing of bare soils[J]. International journal of remote sensing,1994,15(14):2931—2942.
    Lasne Y,Paillou P,Freeman A,et al. Effect of salinity on the dielectric properties of geological materials:implication for soil moisture detection by means of radar remote sensing [J]. IEEE Trans Geosci Remote Sensing,2008,46(6):1674—1688.
    Lee J S,Schuler D L,Ainsworth T L,et al. On the estimation of radar polarization orientation shifts induced by terrain slopes[J]. IEEE Transactions on Geoscience and Remote Sensing,2002,40(1):30—41.
    Freeman A,Durden S. A three-component scattering model for polarimetric SAR data[J]. IEEE Trans Geosci Remote Sensing,1998,36(3):963—973.
    Blaschke T, Strobl J. What's wrong with pixels? [M]//Some Recent Developments Interfacing Remote Sensing and GIS,Vol.6.GIS,Heidelberg:Huthig GmbH & Co,2001:6:12—17.
    Yashon O,Oumaa S,Josaphatb S,et al. Multiscale remote sensing data segmentation and post-segmentation change detection based on logical modeling:theoretical exposition and experimental results for forestland cover change analysis[J]. Computers & Geosciences,2008,34:715—737.
    Definiens, 2007. Definiens Bridges the Gap between Remote Sensing and GIS. Press release, Munich, Germany.
    于波. 辽东湾海冰多极化SAR影像解译分析与分类算法研究[D]. 青岛:中国海洋大学,2009.
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  • 收稿日期:  2011-08-29

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