Title :
Unsupervised land-use classification of multispectral satellite images. A comparison of conventional and fuzzy-logic based clustering algorithms
Author :
Duda, Tanja ; Canty, Morton ; Klaus, Dieter
Author_Institution :
Programme Group Technol. Assessment, Forschungszentrum Julich GmbH, Germany
Abstract :
This paper describes a comparative study of the use of unsupervised clustering algorithms for pre-classification of satellite images. Conventional and fuzzy-logic based clustering algorithms for unsupervised pre-classification have been employed
Keywords :
fuzzy logic; geophysical signal processing; geophysical techniques; image classification; multidimensional signal processing; remote sensing; terrain mapping; clustering algorithm; fuzzy-logic; geophysical measurement technique; image classification; land surface; land-use; multispectral remote sensing; multispectral satellite image; optical imaging; pre-classification; satellite image; terrain mapping; unsupervised classification; unsupervised clustering algorithm; Classification algorithms; Clustering algorithms; Computer languages; Cost function; Geography; Group technology; Image classification; Information analysis; Information retrieval; Satellites;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.774596
