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

Volume

2

fYear

1999

fDate

1999

Firstpage

1256

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.774596

Filename

774596