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THEMATIC MAPPING USING TABLE CLASSIFICATION
F. PALOU
Centro de Investigación UAM-IBM, Madrid, Spain.
and
J. L. LABRANDERO
Instituto de Edafología, Madrid, Spain.
Abstract
Table classification is applicable to LANDSAT data, allowing fast
classification of very large areas. An interactive system has been devised
which allows to perform table classification using two linear combinations
of the spectral bands. Results are discussed and evaluated.
Résumé
La classification thématique avec table apliquée aux images LANDSAT
permet de classifier rapidement des régions tres larges. Un système
interactif a été developpé pour effectuer la classification avec table à
partir de deux combinaisons linéaires de bandes spéctrales. Les résultats
son discutés et évalués.
Zusammenfassung
Die Verwendung der Klassifizierung mit Tabelle an LANDSAT Daten erlaubt
eine schnelle Klassifizierung von weiten Flachen. Ein interaktives System
wird erzeugt, das mit Tabelle zu Klassifizieren erlaubt. Zwei Linear-
kombinationen der Spektralbereiche werden benutzen. Die Ergebnisse sing
besprochen und bewert worden.
1. INTRODUCTION
In this paper we try to approach the problem of producing thematic maps
from the classification of LANDSAT images. From the viewpoint of the user
of an interactive package, like the ERMAN-II system we use in Madrid, the
classification of an image represents a process which is not very well
understood and which consumes a lot of time. We can reduce the classification
time by the use of 2-dimensional tables and make the process clearer to the
user by showing him the classification tables, which he can modify.
In section 2 we discuss the properties of LANDSAT data which allow us to
use a two-dimensional table for classification without much loss of accuracy.
In section 3 we describe the method used and discuss its advantages and
disadvantages and the possibilities that remain to improve the method.