Automatic extraction of main road centerlines from high resolution satellite imagery using hierarchical grouping

作者：Hu Xiangyun; Tao Vincent

来源：Photogrammetric Engineering and Remote Sensing, 2007, 73(9): 1049-1056.

Automatic road centerline extraction from high-resolution satellite imagery has gained considerable interest recently due to the increasing availability of commercial high-resolution satellite images. In this paper, a hierarchical grouping strategy is proposed to automatically extract main road centerlines from high-resolution satellite imagery. Here hierarchical grouping means that, instead of grouping all segments at once, the selective segments are grouped gradually, and multiple clues are closely integrated into the procedure. By this means, the computational cost can be reduced significantly. Through the stepwise grouping, the detected fragmented line segments eventually form the long main road lines. The proposed method has been tested and validated using several Ikonos and QuickBird images both in open areas and build-up urban environments. The results demonstrate its robustness and viability on extracting salient main road centerlines.

• 出版日期2007-9
• 单位武汉大学