摘要
提出了一种组合利用统计和结构信息从遥感图像中提取道路的算法。这个算法包括三个处理步骤 :利用道路的多种局部统计特性获得道路基元与道路段 ,以及利用能量函数提取道路边沿。在检测道路基元时 ,用统计分析来表达道路的结构信息 ,避免了提取线段来表达 ,增强了抗噪性与稳健性 ;在检测和拟合道路边沿时 ,能量函数中的参数由前面的运算结果确定 ,使算法具有自适应能力。
An algorithm for road extraction from a remote sensing image is presented. It contains three steps: the road elements and the road segments are firstly extracted by using multiple local statistic characteristics of the image, and the road boundaries are extracted by using energy function. Structural information is described by using statistical analysis in detecting the road elements instead of using lines extracted, to enhance the algorithm’s robustness; the parameters of energy function are determined from the result of above calculation in detecting the road boundaries to make the algorithm’s self-adaptive ability.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2001年第4期504-508,共5页
Acta Optica Sinica