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

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3 Author(s)
Cao Jinxin ; Tsinghua Univ., Beijing ; Shi Qixin ; Sun Liguang

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.

Published in:

Industrial Technology, 2006. ICIT 2006. IEEE International Conference on

Date of Conference:

15-17 Dec. 2006