Road detection from Quickbird fused image using IHS transform and morphology

Abstract

With the development of sensor technique, the commercial high resolution remote image would be directly served in digital city or monitoring urban changing. The topology feature of urban road is changed form line feature to fixed feature of line and segment. Especially to asphalt road, the shadow of urban building and high tree increases the difficult on describing the fixed feature from high resolution panchromatic image. In this paper, we present a region segmentation algorithm based on IHS transform of multispectral image, develop the orientation projection of candidate segment to get road segments and the intersections, and apply the morphology filter to improve the quality of the road detection. At the end of paper, some result image is presented to show the properties of the road network detection from the Quickbird fused multispectral image.