一种SAR影像带状道路半自动提取方法A semi-automatic extraction of ribbon roads from SAR image
孙娜,张继贤,黄国满,赵争
摘要(Abstract)：
文章提出了一种结合极化的相干最优信息的SAR影像带状道路半自动提取方法。该方法由用户输入种子点确定初始矩形模板,用傅立叶函数构建道路轨迹模型作为全局的控制条件,将矩形模板的角度信息结合极化相干最优信息作为局部的控制条件,根据两种条件控制模板的前进方向,实现道路的边缘线提取。通过与人工提取结果对比,证明本文的方法能够取得较理想的效果。
关键词(KeyWords)： SAR影像;半自动道路提取;极化相干最优信息;角度信息;道路轨迹模型
基金项目(Foundation): 863项目(2011AA120401)
作者(Author): 孙娜,张继贤,黄国满,赵争
DOI: 10.16251/j.cnki.1009-2307.2014.11.026
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