利用局部梯度最大值的半自动道路提取An algorithm for semi-automatic road extraction based on local gradient maximum
岳贵杰,杜黎明,刘凤德,项琳,张刚,李健
摘要(Abstract)：
针对目前测图中半自动道路提取的现状和不足,文章提出了一种基于局部梯度最大值的道路测图算法:根据人工输入的初始条件,将影像上局部梯度最大值点作为道路边缘兴趣点,利用基于局部梯度最大值点的边缘扩展算法建立道路跟踪模型,并将该算法应用到资源三号卫星(ZY3)应用系统三线阵数字线划图生产软件中半自动道路识别。针对资源三号卫星影像乡村道路实验表明,该方法操作简便、符合作业习惯,能实时进行半自动道路测图,降低了道路测图的工作强度,提高了道路边缘的定位精度和测图效率,具有较好的应用价值。
关键词(KeyWords)： 半自动道路提取;资源三号卫星;梯度;局部梯度最大值点
基金项目(Foundation): 国家科技支撑计划课题项目(2011BAB01B05);; 国家自然科学基金项目(41101435);; 地理空间信息工程国家测绘地理信息局重点实验室开放研究基金课题(201328);; 对地观测技术国家测绘地理信息局重点实验室开放课题(K201412)
作者(Author): 岳贵杰,杜黎明,刘凤德,项琳,张刚,李健
DOI: 10.16251/j.cnki.1009-2307.2015.05.019
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