Description

ABSTRACT:

                     Extraction of map objects such roads, rivers and buildings from high

resolution satellite imagery is an important task in many civilian and military

applications. We present a semi-automatic approach for road detection that

achieves high accuracy and efficiency. This method exploits the properties of road

segments to develop customized operators to accurately derive the road segments.

The customized operators include directional  morphological enhancement ,

directional segmentation and thinning. We have systematically evaluated the

algorithm on a variety of images from IKONOS, QuickBird , CARTOSAT-2A satellites

and carefully compared it with the techniques presented in literature. The results

demonstrate that the algorithm proposed is both accurate and efficient.