Urban road network extraction from IKONOS imagery based on multi-resolution analysis

Abstract

The width of urban road is various. Roads with different width have different appearance in an image. Multi-resolution analysis-based method for road extraction was proposed. Firstly, some wide roads in IKONOS multi-spectral imagery were extracted through using level set-based method. While some narrow roads, which are non-salient in 4m multi-spectral imagery, were extracted from 1m fusion imagery. Because the central green belt and some continuously arranged road-side trees can imply a road existence, this vegetation information has also been extracted, which effectively assist the road extraction. Finally, the accuracy of the road extraction result was quantitatively assessed. The assessment result shows that this proposed method has a good performance. This method not only can effectively extract salient road network from urban image, but also can extract some non-salient narrow roads.