Assessment of C-band compact polarimetry SAR for sea ice classification

ZHANG Xi ZHANG Jie LIU Meijie MENG Junmin

张晰, 张杰, 刘眉洁, 孟俊敏. C波段紧缩极化SAR海冰探测能力评估[J]. 海洋学报英文版, 2016, 35(5): 79-88. doi: 10.1007/s13131-016-0856-3
引用本文: 张晰, 张杰, 刘眉洁, 孟俊敏. C波段紧缩极化SAR海冰探测能力评估[J]. 海洋学报英文版, 2016, 35(5): 79-88. doi: 10.1007/s13131-016-0856-3
ZHANG Xi, ZHANG Jie, LIU Meijie, MENG Junmin. Assessment of C-band compact polarimetry SAR for sea ice classification[J]. Acta Oceanologica Sinica, 2016, 35(5): 79-88. doi: 10.1007/s13131-016-0856-3
Citation: ZHANG Xi, ZHANG Jie, LIU Meijie, MENG Junmin. Assessment of C-band compact polarimetry SAR for sea ice classification[J]. Acta Oceanologica Sinica, 2016, 35(5): 79-88. doi: 10.1007/s13131-016-0856-3

C波段紧缩极化SAR海冰探测能力评估

doi: 10.1007/s13131-016-0856-3
基金项目: The National Science Foundation for Young Scientists of China under contract No. 41306193; the National Special Research Fund for Non-profit Marine Sector under contract No. 201305025-2; the Dragon 3 Cooperation Programme under contract No. 10501 by the Ministry of Science and Technology of the P.R. China and the European Space Agency.

Assessment of C-band compact polarimetry SAR for sea ice classification

  • 摘要: 本文利用中国渤海,北极拉布拉多海,以及南极威德尔海的C波段合成孔径雷达(SAR)数据,分析探讨了CTLR和π/4等紧缩极化模式对海冰全极化信息重构能力。着重分析哪种紧缩极化模式重构的全极化信息精度最高,以及重构的伪全极化SAR数据对海冰检测以及海冰分类的性能影响。根据本文的分析,对于重构极化参数σHH0,σW0,H,α推荐使用CTLR紧缩极化模式;对于重估极化参数 σHV0,ρH-V,λ1λ2推荐使用π/4紧缩极化模式。在研究电磁波与海冰作用效果时,推荐使用π/4模式;而在研究海冰分类时,推荐使用CTLR模式。
  • Boularbah S, Ouarzeddine M, Belhadj-Aissa A. 2012. Investigation of the capability of the compact polarimetry mode to Reconstruct Full Polarimetry mode using RADARSAT-2 data. Advanced Electromagnetics, 1(1): 19-28
    Charbonneau F J, Brisco B, Raney R K, et al. 2010. Compact polari-metry overview and applications assessment. Canadian Journ-al of Remote Sensing: Journal Canadien de Télédétection, 36(S2): S298-S315
    Cloude S R, Pottier E. 1997. An entropy based classification scheme for land applications of polarimetric SAR. IEEE Transactions on Geoscience and Remote Sensing, 35(1): 68-78
    Collins M J, Denbina M, Atteia G. 2013. On the reconstruction of quad-pol SAR data from compact polarimetry data for ocean target detection. IEEE Transactions on Geoscience and Remote Sensing, 51(1): 591-600
    Dabboor M, Geldsetzer T. 2014. Towards sea ice classification using simulated RADARSAT Constellation Mission compact polari-metric SAR imagery. Remote Sensing of Environment, 140: 189-195
    Dabboor M, Howell S, Shokr M, et al. 2014. The Jeffries-Matusita dis-tance for the case of complex Wishart distribution as a separab-ility criterion for fully polarimetric SAR data. International Journal of Remote Sensing, 35(19): 6859-6873
    Dierking W, Skriver H, Gudmandsen P. 2003. SAR polarimetry for sea ice classification. In: Lacoste H, ed. Proceedings of the Work-shop on POLinSAR-Applications of SAR Polarimetry and Polar-imetric Interferometry (ESA SP-529). Frascati, Italy: CDROM, 18-22
    Geldsetzer T, Yackel J J. 2009. Sea ice type and open water discrimin-ation using dual co-polarized C-band SAR. Canadian Journal of Remote Sensing, 35(1): 73-84
    Gu Wei, Liu Chengyu, Yuan Shuai, et al. 2013. Spatial distribution characteristics of sea-ice-hazard risk in Bohai, China. Annals of Glaciology, 54(62): 73-79
    Guo Hao, Fan Qing, Zhang Xi, et al. 2014. Multifeature fusion for po-larimetric synthetic aperture radar image classification of sea ice. Journal of Applied Remote Sensing, 8(1): 083534
    Huynen J R. 1970. Phenomenological theory of radar targets [disser-tation]. Rotterdam, NW: Drukkerij Bronder-Offset
    Jardon F P, Vivier F, Vancoppenolle M, et al. 2013. Full-depth desalin-ation of warm sea ice. Journal of Geophysical Research: Oceans,118(1): 435-447
    Lee J S, Grunes M R, Ainsworth T L, et al. 1999. Unsupervised classi-fication using polarimetric decomposition and the complex Wishart classifier. IEEE Transactions on Geoscience and Re-mote Sensing, 37(5): 2249-2258
    Lee J S, Pottier E. 2009. Polarimetric radar imaging: from basics to ap-plications. Boca: CRC Press
    Nghiem S V, Kwok R, Yueh S H, et al. 1995. Polarimetric signatures of sea ice: 2. Experimental observations. Journal of Geophysical Research: Oceans, 100(C7): 13681-13698
    Nord M E, Ainsworth T L, Lee J S, et al. 2009. Comparison of compact polarimetric synthetic aperture radar modes. IEEE Transac-tions on Geoscience and Remote Sensing, 47(1): 174-188
    Ochilov S, Clausi D A. 2012. Operational SAR sea-ice image classifica-tion. IEEE Transactions on Geoscience and Remote Sensing, 50(11): 4397-4408
    Prinsenberg S J, Peterson I K, Holladay J S, et al. 2012. Labrador shelf pack ice and iceberg survey, March 2011: Canadian technical report of hydrography and ocean sciences. v 275. Goose Bay, Labrador: Canadian Helicopters Ltd, 1-44
    Raney R K. 2007. Hybrid-polarity SAR architecture. IEEE Transac-tions on Geoscience and Remote Sensing, 45(11): 3397-3404
    Salberg A B, Rudjord O, Solberg A H S. 2014. Oil spill detection in hy-brid-polarimetric SAR images. IEEE Transactions on Geoscience and Remote Sensing, 52(10): 6521-6533
    Scheuchl B, Cumming I, Hajnsek I. 2005. Classification of fully polari-metric single- and dual-frequency SAR data of sea ice using the Wishart statistics. Canadian Journal of Remote Sensing, 31(1): 61-72
    Souyris J C, Imbo P, Fjortoft R, et al. 2005. Compact polarimetry based on symmetry properties of geophysical media: The π/4 mode. IEEE Transactions on Geoscience and Remote Sensing, 43(3): 634-646
    Stacy N, Preiss M. 2006. Compact polarimetric analysis of X-band SAR data. In: Proceedings of EUSAR 2006. Dresden, Germany: EUSAR
    Wakabayashi H, Matsuoka T, Nakamura K, et al. 2004. Polarimetric characteristics of sea ice in the Sea of Okhotsk observed by air-borne L-band SAR. IEEE Transactions on Geoscience and Re-mote Sensing, 42(11): 2412-2425
    Yang Guojin. 2000. Sea Ice Engineering Science (in Chinese). Beijing: Petroleum Industry Press
    Yin J J, Yang J, Zhou Z S. 2013. New parameters in compact polari-metry for ocean target detection. In: Proceedings of IET Inter-national Radar Conference 2013. Xi'an: IEEE, 1-6
    Zhang Xi, Dierking W, Zhang Jie, et al. 2015. A polarimetric decom-position method for ice in the Bohai Sea using C-band PolSAR data. IEEE Journal of Selected Topics in Applied Earth Observa-tions and Remote Sensing, 8(1): 47-66
  • 加载中
计量
  • 文章访问数:  1183
  • HTML全文浏览量:  66
  • PDF下载量:  564
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-06-02
  • 修回日期:  2015-11-02

目录

    /

    返回文章
    返回