A methodology for Automatic Detection and Extraction of Road Edges from High Resolution Remote Sensing Images

Abstract

Based on analysis of roads features in high resolution remote sensing (RS) images, we improve the traditional algorithm for automatic edge detection and extraction and put forward a new methodology. Mathematical morphology reconstruction and boundary tracing algorithm are introduced to automatically detect and extract edges from high resolution RS images. Three factors, P factor, F factor and C factor, are defined to describe the shape characteristics of edges. K-mean cluster algorithm is then utilized to identify and extract road edges from the huge edge sets. Finally an example gives fine result of this methodology.