Edge detection in multispectral remote sensing images

Tuba Sirin*, Mehmet Izzet Saglam, Isin Erer, Muhittin Gökmen, Okan Ersoy

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we discuss edge detection by first using a clustering algorithm followed by a known edge detection filter such as Canny or Generalized Edge Detector (GED). We developed a new clustering method called Self-Organizing Global Ranking (SOGR). Comparative results with multispectral satellite images including SOGR, SOM and K-Means clustering methods are discussed. The results show that the two-stage algorithms are better than single stage edge detector algorithms.

Original languageEnglish
Title of host publicationRAST 2005 - Proceedings of 2nd International Conference on Recent Advances in Space Technologies
Pages529-533
Number of pages5
DOIs
Publication statusPublished - 2005
EventRAST 2005 - 2nd International Conference on Recent Advances in Space Technologies - Istanbul, Turkey
Duration: 9 Jun 200511 Jun 2005

Publication series

NameRAST 2005 - Proceedings of 2nd International Conference on Recent Advances in Space Technologies
Volume2005

Conference

ConferenceRAST 2005 - 2nd International Conference on Recent Advances in Space Technologies
Country/TerritoryTurkey
CityIstanbul
Period9/06/0511/06/05

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