Sea Ice Detection from RADARSAT-2 Quad-Polarization SAR Imagery Based on Co- and Cross-Polarization Ratio

被引：3
作者：
Zhao, Li [1 ]
Xie, Tao [2 ,3 ]
Perrie, William [4 ]
Yang, Jingsong [5 ]
机构：
[1] Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Peoples R China
[2] Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao 266237, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China
[4] Bedford Inst Oceanog, Dept Fisheries & Oceans Canada, Dartmouth, NS B2Y 4A2, Canada
[5] Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Peoples R China
来源：
REMOTE SENSING | 2024年 / 16卷 / 03期
基金：
国家重点研发计划;
关键词：
sea ice detection; RADARSAT-2; synthetic aperture radar (SAR); polarization ratio; SYNTHETIC-APERTURE RADAR; PASSIVE MICROWAVE; CLASSIFICATION; SENTINEL-1; MODEL; DISCRIMINATION; PREDICTION; PARAMETERS; RETRIEVAL; COVER;
D O I：
10.3390/rs16030515
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Arctic sea ice detection is very important in global climate research, Arctic ecosystem protection, ship navigation and human activities. In this paper, by combining the co-pol ratio (HH/VV) and two kinds of cross-pol ratio (HV/VV, HV/HH), a novel sea ice detection method is proposed based on RADARSAT-2 quad-polarization synthetic aperture radar (SAR) images. Experimental results suggest that the co-pol ratio shows promising capability in sea ice detection at a wide range of incidence angles (25-50 degrees), while the two kinds of cross-pol ratio are more applicable to sea ice detection at small incidence angles (20-35 degrees). When incidence angles exceed 35 degrees, wind conditions have a great effect on the performance of the cross-pol ratio. Our method is validated by comparison with the visual interpretation results. The overall accuracy is 96%, far higher than that of single polarization ratio (PR) parameter-based methods. Our method is suitable for sea ice detection in complex sea ice and wind conditions.
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页数：25
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  • [1] Improved retrieval of sea ice total concentration from spaceborne passive microwave observations using numerical weather prediction model fields: An intercomparison of nine algorithms
    Andersen, Soren
    Tonboe, Rasmus
    Kern, Stefan
    Schyberg, Harald
    [J]. REMOTE SENSING OF ENVIRONMENT, 2006, 104 (04) : 374 - 392
  • [2] Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks
    Boulze, Hugo
    Korosov, Anton
    Brajard, Julien
    [J]. REMOTE SENSING, 2020, 12 (13)
  • [3] Accelerated decline of summer Arctic sea ice during 1850-2017 and the amplified Arctic warming during the recent decades
    Cai, Qiongqiong
    Wang, Jia
    Beletsky, Dmitry
    Overland, James
    Ikeda, Moto
    Wan, Liying
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2021, 16 (03):
  • [4] DETERMINATION OF SEA ICE PARAMETERS WITH THE NIMBUS-7 SMMR
    CAVALIERI, DJ
    GLOERSEN, P
    CAMPBELL, WJ
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1984, 89 (ND4) : 5355 - 5369
  • [5] Multiple Ecosystem Effects of Extreme Weather Events in the Arctic
    Christensen, T. R.
    Lund, M.
    Skov, K.
    Abermann, J.
    Lopez-Blanco, E.
    Scheller, J.
    Scheel, M.
    Jackowicz-Korczynski, M.
    Langley, K.
    Murphy, M. J.
    Mastepanov, M.
    [J]. ECOSYSTEMS, 2021, 24 (01) : 122 - 136
  • [6] Annual Mean Arctic Amplification 1970-2020: Observed and Simulated by CMIP6 Climate Models
    Chylek, Petr
    Folland, Chris
    Klett, James D.
    Wang, Muyin
    Hengartner, Nick
    Lesins, Glen
    Dubey, Manvendra K.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2022, 49 (13)
  • [7] SATELLITE MICROWAVE AND INSITU OBSERVATIONS OF THE WEDDELL SEA ICE COVER AND ITS MARGINAL ICE-ZONE
    COMISO, JC
    SULLIVAN, CW
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1986, 91 (C8): : 9663 - 9681
  • [8] Accelerated decline in the Arctic Sea ice cover
    Comiso, Josefino C.
    Parkinson, Claire L.
    Gersten, Robert
    Stock, Larry
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2008, 35 (01)
  • [9] Assessment of the High Resolution SAR Mode of the RADARSAT Constellation Mission for First Year Ice and Multiyear Ice Characterization
    Dabboor, Mohammed
    Montpetit, Benoit
    Howell, Stephen
    [J]. REMOTE SENSING, 2018, 10 (04)
  • [10] Prediction of Categorized Sea Ice Concentration From Sentinel-1 SAR Images Based on a Fully Convolutional Network
    de Gelis, Iris
    Colin, Aurelien
    Longepe, Nicolas
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 5831 - 5841
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