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(Article of periodic en Anglais - 1996)

Document title

Using multicriterion optimization to classify ecosystems from multitemporal imagery

Authors(s) and Affiliation(s)

RIDGLEY M.A. (1) ; AERTS J.C.J.H. ;
(1) Dept. of Geography, University of Hawaii, Manoa, Honolulu, ETATS-UNIS

Abstract

A (Normalized Difference Vegetation Index) NDVI-based classification is made by using knowledge of typical ecosystem fingerprints to find the best match between the fingerprints represented in a set of RS images and a set of ecosystems. This paper reports on a new way to do this. Whereas image interpretation and classification is conventionally done through multivariate statistical procedures, the approach described here is a supervised method utilizing goal programming, a particular type of multiobjective optimization

Source

Article of periodic

published at : Physical geography / ISSN 0272-3646

Editor : Taylor & Francis, Abingdon - ROYAUME-UNI (1980)

Millesime : 1996, vol. 17, no3 [pp. 282-293]

Bibliographic references : 20 ref.

Collation : Illustration ;

Language

Anglais

Localisation

American geological institute

INIST-CNRS, Cote INIST : 20106

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 1996.
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