Fuzzy clustering of a Landsat TM scene

R Beichel; R Bolter; A Pinz

doi:10.1109/IGARSS.1999.772031

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Conference proceeding

Fuzzy clustering of a Landsat TM scene

R Beichel, R Bolter and A Pinz

IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), Vol.3, pp.1597-1599 vol.3

1999

DOI: 10.1109/IGARSS.1999.772031

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Abstract

Emerging new sensors deliver an ever increasing amount of remote sensing data. Classification still plays a key role in the automatic evaluation of these data. In this paper the characteristics of unsupervised fuzzy classification methods are examined and the results obtained from a section of a Landsat TM scene from the surroundings of Vienna are compared with various supervised classification methods.

Satellites

Automation

Shape

Layout

Clustering algorithms

Computer graphics

Iterative algorithms

Partitioning algorithms

Remote sensing

Testing

Details

Title: Subtitle: Fuzzy clustering of a Landsat TM scene
Creators: R Beichel - Dept. of Comput. Graphics & Vision, Graz Univ. of Technol., Austria
R Bolter
A Pinz
Resource Type: Conference proceeding
Publication Details: IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), Vol.3, pp.1597-1599 vol.3
DOI: 10.1109/IGARSS.1999.772031
Publisher: IEEE
Language: English
Date published: 1999
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083253502771

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