TY - GEN
T1 - Edge detection in multispectral remote sensing images
AU - Sirin, Tuba
AU - Saglam, Mehmet Izzet
AU - Erer, Isin
AU - Gökmen, Muhittin
AU - Ersoy, Okan
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/33947508333
U2 - 10.1109/RAST.2005.1512625
DO - 10.1109/RAST.2005.1512625
M3 - Conference contribution
AN - SCOPUS:33947508333
SN - 0780389778
SN - 9780780389779
T3 - RAST 2005 - Proceedings of 2nd International Conference on Recent Advances in Space Technologies
SP - 529
EP - 533
BT - RAST 2005 - Proceedings of 2nd International Conference on Recent Advances in Space Technologies
T2 - RAST 2005 - 2nd International Conference on Recent Advances in Space Technologies
Y2 - 9 June 2005 through 11 June 2005
ER -