改进角度纹理特征提取高分辨率遥感影像带状道路Extraction of ribbon roads from high-resolution remotely sensed imagery with improved angular texture signature
林祥国,田雷,王家民,朱先志,李开华
摘要(Abstract):
针对目前高分辨率遥感影像的道路自动提取算法研究中的不足,该文提出了一种基于并行角度纹理特征的半自动道路提取算法:用户输入完成道路中心线上的起始点、道路方向、道路宽度等初始化工作,利用并行角度纹理特征获取道路前进方向,用抛物线参数方程构建道路轨迹模型来预测道路轨迹点,使用角度纹理特征值构建的紧质度系数和抛物线的曲率变化来约束道路轨迹点,验证失败则转入手工跟踪;往复执行以提取道路中心线。试验证明,本算法是一种稳健的道路半自动提取算法。
关键词(KeyWords): 半自动道路提取;高分辨率遥感影像;并行角度纹理特征;模板匹配;Snakes算法;剖面匹配
基金项目(Foundation): 国家自然科学基金项目(41371405)
作者(Author): 林祥国,田雷,王家民,朱先志,李开华
DOI: 10.16251/j.cnki.1009-2307.2015.05.012
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