The Use of Fuzzy Set Theory in Remote Sensing Pattern Recognition

Fischer, Manfred M. and Benedikt, Josef (1996) The Use of Fuzzy Set Theory in Remote Sensing Pattern Recognition. Discussion Papers of the Institute for Economic Geography and GIScience, 50/96. WU Vienna University of Economics and Business, Vienna.


Download (8MB)


Satellite images increasingly become a major data source for monitoring changes in the natural environment. A main task in the analysis of satellite images is concerned with the modelling of land use classes by reducing uncertainty during a classification process. In the approach presented in this paper uncertainty is perceived to be due to the vagueness of geographical categories caused by either the complexity of the category (like 'urban area') or by the use of the category in several application contexts. Two circumstances of use of an extended set theoretical concept (fuzzy sets) are discussed. First, two algorithms from the ISODATA class are used to determine the grades of membership to three a priori defined classes (woodland, suburban area, urban area) of a LANDSAT TM satellite image of Vienna, Austria. The results are visualized by a RGB image of the grades of membership to each category. Second, a measure of fuzziness is employed on the results. The measure relies on the concept of distance between a seUcategory and its complement. The so determined vagueness provide more information on the uncertainty of the different categories and may improve further information processing tasks. (authors' abstract)

Item Type: Paper
Keywords: Fuzzy Sets / Remote Sensing / Pattern Recognition / Measure of Fuzziness
Divisions: Departments > Sozioökonomie > Wirtschaftsgeographie und Geoinformatik > Fischer
Depositing User: ePub Administrator
Date Deposited: 13 Jun 2014 13:13
Last Modified: 22 Dec 2015 15:47


View Item View Item


Downloads per month over past year

View more statistics