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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Sohn, HG., Kim, GH., Heo, J. (2005). Road Change Detection Algorithms in Remote Sensing Environment. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_85
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DOI: https://doi.org/10.1007/11538356_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28227-3
Online ISBN: 978-3-540-31907-8
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