Road change detection algorithms in remote sensing environment

Authors:
Hong-Gyoo Sohn;Gi-Hong Kim;Joon Heo
Affiliations:
School of Civil and Environmental Eng., Yonsei Univ., Seoul, Korea;Department of Civil Eng., Kangnung National Univ., Gangneung, Korea;School of Civil and Environmental Eng., Yonsei Univ., Seoul, Korea
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Year:
2005

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Abstract

This paper describes an automatic change detection of roads using aerial photos and digital maps. The task is based on the idea that one can derive information about the changes strictly from its imagery once the geometric relationship among data sets is correctly recovered. The goal of research is achieved by using the Modified Iterated Hough Transform (MIHT) algorithm, the result of which not only solves the orientation parameters of the aerial camera but also filters out blunders from all possible combination of their entities. To examine the effectiveness of the MIHT algorithm, a digital road map and an aerial photo are used to detect changes. Experimental results demonstrate the potential of the MIHT algorithm for detecting changes of the Geospatial Information System (GIS) data.