| 基于2－D熵的机载SAR图像分割迭代算法研究 |
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| 引用本文： | 钱镜洁,曹力.基于2－D熵的机载SAR图像分割迭代算法研究[J].飞机设计,2009,29(4):45-51. |
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| 作者姓名： | 钱镜洁 曹力 |
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| 作者单位： | 南京航空航天大学,民航学院,江苏,南京,210016 |
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| 基金项目： | 南京航空航天大学引进人才科研启动基金，新一代国家空中交通管理系统--航空多传感器组合导航技术(2006AA12A108)项目资助研究 |
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| 摘 要： | 机载合成孔径雷达(SAR)图像可用于检测识别机场跑道.由于SAR图像包含大量噪声,算法抗噪性能对于SAR图像处理很重要.2-D阈值方法的分割效果比传统的一维方法要好,特别是对受噪声影响的图像.然而,2-D阈值方法耗时长,难以实用.因此,本文在现有的2-D熵迭代分割算法的基础上提出了一种基于二维直方图统计特点的最大熵阈值分割算法.通过大量试验证明,本文提出的方法不仅获得了理想的分割效果,而且进一步提高了二维阈值选取速度.
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| 关 键 词： | SAR图像 二维Renyi熵 阈值 直方图 图像处理 |
The Recurring Algorithms Research of Airborne SAR Images Segmentation Based on Two-Dimensional Entropy |
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| QIAN Jing-jie,CAO Li.The Recurring Algorithms Research of Airborne SAR Images Segmentation Based on Two-Dimensional Entropy[J].Aircraft Design,2009,29(4):45-51. |
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| Authors: | QIAN Jing-jie CAO Li |
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| Institution: | College of Civil Aviation;Nanjing University of Aeronautics and Astronautics;Nanjing 210016;China |
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| Abstract: | Airborne synthetic aperture radar(SAR)image could be used to detect runways.However,it is noised.So noise immunity of algorithms is important for SAR image processing.Two-dimensional(2-D)thresholding methods can get better segmenting result than the traditional one-dimensional(1-D)methods,especially in noised images.However,2-D thresholding methods need too much computional time to satisfy practical applications.To speed up the 2-D entropy thresholding,a new method based on the statistical characteristic of... |
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| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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