| 应用纹理分析识别SAR海上溢油图像 |
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| 引用本文： | 徐青,郑汲,程永存,纪棋严.应用纹理分析识别SAR海上溢油图像[J].河海大学学报(自然科学版),2011,39(5):569-574. |
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| 作者姓名： | 徐青 郑汲 程永存 纪棋严 |
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| 作者单位： | 1. 河海大学海岸灾害及防护教育部重点实验室,江苏南京,210098
2. 丹麦技术大学国家空间研究所,哥本哈根2800;卫星海洋环境动力学国家重点实验室,浙江杭州310012 |
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| 基金项目： | 国家自然科学基金(41006108); 卫星海洋环境动力学国家重点实验室开放基金(SOED1104) |
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| 摘 要： | 以渤海ENVISAT ASAR图像为例,采用基于灰度共生矩阵的纹理特征分析方法,计算油膜和2种类油膜(近海自然表面膜和低风速区)的纹理特征量.结果表明:对比度、方差、熵、相关性、相异性5种纹理特征量可用于识别油膜和类油膜,但对于不同类型的类油膜,用于区分它们和油膜的纹理特征量是不同的.因此,类油膜的分类对区分油膜与类油...
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| 关 键 词： | 图像识别 合成孔径雷达 溢油 纹理特征:灰度共生矩阵 |
| 修稿时间： | 2011/11/10 0:00:00 |
Application of texture analysis to identification of oil spills in SAR images |
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| XU Qing,ZHENG Ji,CHENG Yong-cun,JI Qi-yan.Application of texture analysis to identification of oil spills in SAR images[J].Journal of Hohai University (Natural Sciences ),2011,39(5):569-574. |
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| Authors: | XU Qing ZHENG Ji CHENG Yong-cun JI Qi-yan |
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| Institution: | XU Qing1,ZHENG Ji1,CHENG Yong-cun2,3,JI Qi-yan1(1.Key Laboratory of Coastal Disaster and Defence,Ministry of Education,Hohai University,Nanjing 210098,China,2.National Space Institute,Technical University of Denmark,Copenhagen 2800,Denmark,3.State Key Laboratory of Satellite Ocean Environment Dynamics,Hangzhou 310012,China) |
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| Abstract: | Taking the ENVIST ASAR image over the Bohai Sea as an example,the texture characteristics of oil films and two kinds of look-alikes(coastal natural surface film and low wind velocity) were studied using the texture feature analysis method based on the grey level co-occurrence matrix.The results show that the contrast,variance,entropy,correlation,and dissimilarity can be used to distinguish oil films from look-alikes.For different look-alikes,the texture features that are used to distinguish them from oil fi... |
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| Keywords: | pattern recognition synthetic aperture radar(SAR) oil spill texture characteristics grey level co-occurrence matrix |
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