摘要
以高精度数字表面模型为检测基础,通过智能识别处理手段对地面区域与非地面区域进行良好区分,发展出一种贪婪蛇型算法。该算法仅与搜索步距、方向旋转间隔以及重叠区域宽度等三个因素相关,具有速度快、效率高等优点。针对典型的城市区域进行镶嵌线检测试验,表明DSM辅助下的城区正射影像镶嵌线能很好地避开房屋等明显地表实体,并且贪婪蛇型算法能有效地进行最优路径检测。
Ground regional and non-ground area are accurately distinguished by processing high-precision DSM.Most of traditional seamlines detection algorithms are based on iterative calculations,and have high complexity.It is proposed a new algorithm named greedy snake algorithm.The new algorithm is only associated with three parameters： searching step,direction rotation interval and region width.Experiments for urban areas for orthophoto seamlines detection show that the seamlines can avoid buildings well,and the greedy snake algorithm can be applied in the optimal path detection effectively.
出处
《测绘学报》
EI
CSCD
北大核心
2011年第1期84-89,共6页
Acta Geodaetica et Cartographica Sinica
基金
国家863计划(2009AA12Z126
2009AA121403-2(1))
