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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.