Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)

  • 2003.11a
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  • Pages.238-240
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  • 2003
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  • 1226-9743(pISSN)
Korean Society of Remote Sensing (대한원격탐사학회)
권호 표지

Comparative Study of GDPA and Hough Transformation for Automatic Linear Feature Extraction

  • Ryu, Hee-Young (Dept. of Geoscience Education, Seoul National University) ;
  • Lee, Ki-Won (Dept. of Information Systems Hansung University) ;
  • Kwon, Byung-Doo (Dept. of Geoscience Education, Seoul National University)
  • Published : 2003.11.03
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Abstract

As remote sensing is weighty in GIS updating, it is indispensable to get spatial information quickly and exactly. In this study, we have designed and implemented the program by two algorithms of GDPA (Gradient Direction Profile Analysis) and Hough transformation to extract linear features automatically from high-resolution imagery. We applied the software to embody both algorithms to KOMPSAT-EOC, IKONOS, and Landsat-ETM and made a comparative study of results.

Keywords