摘要
通过分析高分辨率光学遥感影像上的道路特征,提出了适用于有较多车辆遮蔽和两侧行树阴影干扰的T型模板匹配的道路提取算子。它融合了剖面匹配和模板匹配的优势,使用角度纹理特征进行初始道路点的精确定位,道路宽度、道路前进方向的精确量算,使用灰度最小二乘匹配进行最佳道路点的定位,可以很好地追踪高分辨率光学遥感影像上受车辆遮蔽和行树阴影等噪声干扰的带状道路。
Based on the characteristics of roads on high resolution remotely sensed imagery, a T-shaped template matching is proposed to track ribbon roads with much vehicles occlusion and shadow of colonnade on roads＇s edges. The T-shaped template matching integrates the merits of profile matching and template matching. Our tracker uses angular texture signature to locate the starting point and to measure the road width and road direction, and employs a T-shaped template matching to predict the sequential road points. It is proved a more robust semi-automatic road tracker.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2009年第3期293-296,共4页
Geomatics and Information Science of Wuhan University
基金
国家973计划资助项目(20006CB701303)
国家863计划资助(2007AA12Z151)
关键词
半自动道路提取
高分辨率遥感影像
角度纹理特征
模板匹配
Snakes算法
剖面匹配
semi-automatic road extraction
high resolution remotely sensed imagery
angular texture signature
template matching
Snakes algorithm
profile matching
