Volume 8 Issue 3
Jun.  2019
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Article Navigation >  Journal of Radars  > 2019  >  8(3): 382-390
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Citation: WANG Yuhang, YANG Min, and CHONG Jinsong. SAR image simulation method for oceanic eddies[J]. Journal of Radars, 2019, 8(3): 382–390. doi: 10.12000/JR18052
shu

SAR Image Simulation Method for Oceanic Eddies

DOI: 10.12000/JR18052
  • ①.

    Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

  • ②.

    National Key Laboratory of Science and Technology on Microwave Imaging, Beijing 100190, China

  • ③.

    University of Chinese Academy of Sciences, Beijing 100190, China

Funds:  The National Ministries Foundation, The Foundation of National Key Laboratory of Science and Technology on Microwave Imaging (CXJJ_15S119)
More Information
  • Corresponding author: CHONG Jinsong, iecas_chong@163.com
  • Received Date: 2018-07-05
  • Rev Recd Date: 2018-09-11
    • Available Online: 2018-10-11
  • Publish Date: 2019-06-01
    Abstract
  • Oceanic eddies, which play an important role in ocean thermal cycling, is a significant branch of oceanic scientific research. Synthetic Aperture Radar (SAR) provides a large number of images for the observation and investigation of oceanic eddies. However, SAR imagery of oceanic eddies is affected by various environmental factors; as such, it is difficult to interpret eddy features from SAR images. Alternatively, simulated SAR images can be used to investigate eddy features; however, few methods have been established for simulating SAR images for oceanic eddies. To better interpret the eddy features in real SAR images, an SAR image simulation method for oceanic eddies is proposed in this paper. First, a two-dimensional eddy surface current field was built based on the Burgers-Rott vortex model in hydrodynamics; SAR eddy images were then simulated according to the given eddy current field, wind field, and radar parameters. Images of cyclonic and anticyclonic eddies were simulated and evaluated. In addition, a standard for evaluating the similarity between real and simulated SAR eddy images was established. The features of the simulated SAR eddy images show good similarity with the real SAR eddy images, which validates the effectiveness of the proposed simulation method.

     

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    • References(26)
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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 4.8 %其他: 4.8 %其他: 1.8 %其他: 1.8 %Absecon: 0.1 %Absecon: 0.1 %Central District: 0.1 %Central District: 0.1 %China: 0.6 %China: 0.6 %Halfweg: 0.1 %Halfweg: 0.1 %Herndon: 0.1 %Herndon: 0.1 %[]: 0.2 %[]: 0.2 %三亚: 0.1 %三亚: 0.1 %上海: 4.6 %上海: 4.6 %东京: 0.4 %东京: 0.4 %东京都: 0.1 %东京都: 0.1 %东莞: 0.2 %东莞: 0.2 %东营: 0.2 %东营: 0.2 %丹东: 0.1 %丹东: 0.1 %亳州: 0.1 %亳州: 0.1 %仙桃: 0.1 %仙桃: 0.1 %伦敦: 0.2 %伦敦: 0.2 %佛山: 0.6 %佛山: 0.6 %兰州: 0.2 %兰州: 0.2 %兰辛: 0.1 %兰辛: 0.1 %内江: 0.4 %内江: 0.4 %利斯本: 0.2 %利斯本: 0.2 %加利福尼亚州: 0.2 %加利福尼亚州: 0.2 %包头: 0.1 %包头: 0.1 %北京: 9.3 %北京: 9.3 %十堰: 0.1 %十堰: 0.1 %南京: 5.8 %南京: 5.8 %南充: 0.1 %南充: 0.1 %南平: 0.1 %南平: 0.1 %南昌: 0.1 %南昌: 0.1 %南通: 0.2 %南通: 0.2 %卡拉奇: 0.1 %卡拉奇: 0.1 %卡梅尔: 0.3 %卡梅尔: 0.3 %印多尔: 0.2 %印多尔: 0.2 %厦门: 0.5 %厦门: 0.5 %台北: 0.2 %台北: 0.2 %台州: 0.2 %台州: 0.2 %合肥: 1.7 %合肥: 1.7 %吉林: 0.1 %吉林: 0.1 %呼和浩特: 0.2 %呼和浩特: 0.2 %咸宁: 0.2 %咸宁: 0.2 %哈尔滨: 0.7 %哈尔滨: 0.7 %哥伦布: 0.1 %哥伦布: 0.1 %唐山: 0.3 %唐山: 0.3 %嘉兴: 0.2 %嘉兴: 0.2 %大连: 0.2 %大连: 0.2 %天津: 0.7 %天津: 0.7 %太原: 0.2 %太原: 0.2 %威海: 0.5 %威海: 0.5 %娄底: 0.1 %娄底: 0.1 %宁波: 0.3 %宁波: 0.3 %安庆: 0.1 %安庆: 0.1 %安康: 0.3 %安康: 0.3 %宜宾: 0.2 %宜宾: 0.2 %宣城: 0.5 %宣城: 0.5 %密蘇里城: 0.2 %密蘇里城: 0.2 %巴中: 0.1 %巴中: 0.1 %布鲁塞尔: 0.1 %布鲁塞尔: 0.1 %常州: 0.5 %常州: 0.5 %常德: 0.2 %常德: 0.2 %平顶山: 0.1 %平顶山: 0.1 %广州: 2.1 %广州: 2.1 %庆阳: 0.2 %庆阳: 0.2 %库比蒂诺: 0.2 %库比蒂诺: 0.2 %廊坊: 0.1 %廊坊: 0.1 %开封: 0.5 %开封: 0.5 %张家口: 1.2 %张家口: 1.2 %张家界: 0.2 %张家界: 0.2 %徐州: 0.4 %徐州: 0.4 %惠州: 0.2 %惠州: 0.2 %慕尼黑: 0.2 %慕尼黑: 0.2 %成都: 4.8 %成都: 4.8 %扬州: 0.2 %扬州: 0.2 %揭阳: 0.1 %揭阳: 0.1 %新乡: 0.1 %新乡: 0.1 %新竹: 0.3 %新竹: 0.3 %无锡: 0.2 %无锡: 0.2 %昆明: 1.9 %昆明: 1.9 %晋城: 0.1 %晋城: 0.1 %普林斯顿: 0.1 %普林斯顿: 0.1 %朝阳: 0.2 %朝阳: 0.2 %杭州: 3.1 %杭州: 3.1 %格兰特县: 0.2 %格兰特县: 0.2 %桂林: 0.4 %桂林: 0.4 %武威: 0.1 %武威: 0.1 %武汉: 0.6 %武汉: 0.6 %汕头: 0.1 %汕头: 0.1 %江门: 0.1 %江门: 0.1 %沈阳: 0.2 %沈阳: 0.2 %泰安: 0.2 %泰安: 0.2 %泰州: 0.1 %泰州: 0.1 %泸州: 0.1 %泸州: 0.1 %洛杉矶: 0.1 %洛杉矶: 0.1 %洛阳: 0.2 %洛阳: 0.2 %济南: 0.4 %济南: 0.4 %海口: 0.1 %海口: 0.1 %淄博: 0.1 %淄博: 0.1 %淮南: 0.1 %淮南: 0.1 %深圳: 2.5 %深圳: 2.5 %清远: 0.3 %清远: 0.3 %温州: 0.1 %温州: 0.1 %渭南: 0.1 %渭南: 0.1 %湖州: 0.1 %湖州: 0.1 %湘潭: 0.2 %湘潭: 0.2 %湛江: 0.1 %湛江: 0.1 %漯河: 1.0 %漯河: 1.0 %烟台: 0.1 %烟台: 0.1 %白城: 0.1 %白城: 0.1 %石家庄: 0.4 %石家庄: 0.4 %福州: 0.2 %福州: 0.2 %秦皇岛: 0.1 %秦皇岛: 0.1 %米兰: 0.1 %米兰: 0.1 %纽约: 0.2 %纽约: 0.2 %绍兴: 0.7 %绍兴: 0.7 %绵阳: 0.1 %绵阳: 0.1 %罗马: 0.1 %罗马: 0.1 %自贡: 0.3 %自贡: 0.3 %芒廷维尤: 16.4 %芒廷维尤: 16.4 %芝加哥: 1.2 %芝加哥: 1.2 %苏州: 0.6 %苏州: 0.6 %茂名: 0.1 %茂名: 0.1 %葫芦岛: 0.1 %葫芦岛: 0.1 %蚌埠: 0.1 %蚌埠: 0.1 %衡阳: 0.3 %衡阳: 0.3 %襄阳: 0.1 %襄阳: 0.1 %西宁: 7.1 %西宁: 7.1 %西安: 3.4 %西安: 3.4 %西雅图: 0.1 %西雅图: 0.1 %贵阳: 0.3 %贵阳: 0.3 %费利蒙: 0.3 %费利蒙: 0.3 %运城: 0.5 %运城: 0.5 %邯郸: 0.1 %邯郸: 0.1 %邵阳: 0.1 %邵阳: 0.1 %郑州: 0.8 %郑州: 0.8 %重庆: 1.2 %重庆: 1.2 %金昌: 0.1 %金昌: 0.1 %长春: 0.1 %长春: 0.1 %长沙: 2.4 %长沙: 2.4 %阿姆斯特丹: 0.1 %阿姆斯特丹: 0.1 %青岛: 0.5 %青岛: 0.5 %首尔特别: 0.4 %首尔特别: 0.4 %香港: 0.1 %香港: 0.1 %黄冈: 0.1 %黄冈: 0.1 %黄石: 0.1 %黄石: 0.1 %齐齐哈尔: 0.1 %齐齐哈尔: 0.1 %其他其他AbseconCentral DistrictChinaHalfwegHerndon[]三亚上海东京东京都东莞东营丹东亳州仙桃伦敦佛山兰州兰辛内江利斯本加利福尼亚州包头北京十堰南京南充南平南昌南通卡拉奇卡梅尔印多尔厦门台北台州合肥吉林呼和浩特咸宁哈尔滨哥伦布唐山嘉兴大连天津太原威海娄底宁波安庆安康宜宾宣城密蘇里城巴中布鲁塞尔常州常德平顶山广州庆阳库比蒂诺廊坊开封张家口张家界徐州惠州慕尼黑成都扬州揭阳新乡新竹无锡昆明晋城普林斯顿朝阳杭州格兰特县桂林武威武汉汕头江门沈阳泰安泰州泸州洛杉矶洛阳济南海口淄博淮南深圳清远温州渭南湖州湘潭湛江漯河烟台白城石家庄福州秦皇岛米兰纽约绍兴绵阳罗马自贡芒廷维尤芝加哥苏州茂名葫芦岛蚌埠衡阳襄阳西宁西安西雅图贵阳费利蒙运城邯郸邵阳郑州重庆金昌长春长沙阿姆斯特丹青岛首尔特别香港黄冈黄石齐齐哈尔

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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