Automatic extraction of roads from aerial images based on scale space and snakes

被引:207
作者
Laptev, I [1 ]
Mayer, H
Lindeberg, T
Eckstein, W
Steger, C
Baumgartner, A
机构
[1] KTH, NADA, Computat Vis & Act Percept Lab, S-10044 Stockholm, Sweden
[2] Univ Fed Armed Forces Munich, Inst Photogrammetry & Cartog, D-85577 Neubiberg, Germany
[3] MVTec Software GmbH, D-81675 Munich, Germany
[4] Tech Univ Munich, Chair Photogrammetry & Remote Sensing, D-80290 Munich, Germany
关键词
automatic road extraction; aerial imagery; snakes; multi-scale; evaluation;
D O I
10.1007/s001380050121
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a new approach for automatic road extraction from aerial imagery with a model and a strategy mainly based on the multi-scale detection of roads in combination with geometry-constrained edge extraction using snakes. A main advantage of our approach is, that it allows for the first time a bridging of shadows and partially occluded areas using the heavily disturbed evidence in the image. Additionally, it has only few parameters to be adjusted. The road network is constructed after extracting crossings with varying shape and topology. We show the feasibility of the approach not only by presenting reasonable results but also by evaluating them quantitatively based on ground truth.
引用
收藏
页码:23 / 31
页数:9
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