Road change detection algorithms in remote sensing environment

Hong Gyoo Sohn, Gi Hong Kim, Joon Heo

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Pages (from-to)821-830
Number of pages10
JournalLecture Notes in Computer Science
Issue numberPART II
Publication statusPublished - 2005
EventInternational Conference on Intelligent Computing, ICIC 2005 - Hefei, China
Duration: 2005 Aug 232005 Aug 26

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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