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Christine Largouët and Marie-Odile Cordier
Improving the Landcover Classification using Domain Knowledge
, BESAI'2000 (Workshop on Binding Environmental Sciences and Artificial Intelligence)
, Berlin, Allemagne
, (6-1)-(6-7)
, Août
, 2000
, Document
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Abstract
This paper deals with the integration of domain knowledge to improve the landcover classification
of a sequence of images. This new approach consists in representing the plot of land as a dynamic
system and in modeling its evolution (knowledge about crop cycles, rotations and farmer practices)
with the timed automata formalism. The main feature of this work is to improve the classification
provided by a traditional classification with data resulting from the simulation of the plot
evolution model. The aim of this paper is to focus on the experiments carried out on a sequence
of five images. The problem of classification refinement and the model used to capture domain
knowledge are first presented. The emphasis is then put on the results and their interpretation
that show the contribution of the method to improve the classification of images.
the method to improve the classification of images.
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