| 高分辨率全极化合成孔径雷达数据海冰二次分类方法研究 |
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| 引用本文： | 刘眉洁,戴永寿,张杰,任广波,孟俊敏,张晰.高分辨率全极化合成孔径雷达数据海冰二次分类方法研究[J].海洋学报,2013,35(4):80-87. |
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| 作者姓名： | 刘眉洁 戴永寿 张杰 任广波 孟俊敏 张晰 |
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| 作者单位： | 1.中国石油大学(华东) 信息与控制工程学院, 山东 青岛 266555;国家海洋局 第一海洋研究所, 山东 青岛 266061;青岛大学 物理科学学院, 山东 青岛 266071 |
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| 基金项目： | 国家自然科学基金(60890075;40906093);中欧龙计划二期项目(ID:5290)。 |
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| 摘 要： | 随着高分辨率全极化合成孔径雷达(synthetic aperture radar, SAR)影像的大量出现, 传统分类方法因所得分类结果中包含斑点噪声, 导致分类精度大大降低, 因而利用基于伴生关系的二次分类方法对辽东湾RADARSAT-2卫星的海冰SAR影像进行分类, 并将所得分类结果与专家解译分类结果和经典的基于H-α分解的Wishart监督分类结果进行对比, 证明本方法可以消除斑点噪声的影响, 同时具有较好的视觉效果和较高的分类精度。
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| 关 键 词： | 高分辨率 全极化 海冰类型 二次分类 |
| 收稿时间： | 2011/8/29 0:00:00 |
| 修稿时间： | 2013/3/21 0:00:00 |
The research on the object-based method of sea ice classification of high-resolution quad-polarization SAR data |
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| LIU Meijie,DAI Yongshou,ZHANG Jie,REN Guangbo,MENG Junmin and ZHANG Xi.The research on the object-based method of sea ice classification of high-resolution quad-polarization SAR data[J].Acta Oceanologica Sinica (in Chinese),2013,35(4):80-87. |
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| Authors: | LIU Meijie DAI Yongshou ZHANG Jie REN Guangbo MENG Junmin and ZHANG Xi |
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| Institution: | 1.College of Information and Control Engineering, China University of Petroleum (Huadong), Qingdao 266555, China;First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;College of Physical Science, Qingdao University, Qingdao 266071, China2.College of Information and Control Engineering, China University of Petroleum (Huadong), Qingdao 266555, China3.First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China |
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| Abstract: | Along with the appearance of a great deal of high-resolution quad-polarization synthetic aperture radar (SAR) images, the traditional classification methods lead to worse results with lower classification precision due to the speckle. Therefore, the object-based method based on the context has been used to classify the types of sea ice of RADARSAT-2 SAR image in the Liaodong Gulf. The classification result is compared with that of professional classification and Wishard supervised classification based on H-α decomposition, It is showed that this method can eliminate the speckle with better visual effect and higher classification precision． |
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| Keywords: | high-resolution Quad-polarization types of sea ice object-based |
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