Change Detection with SPOT-5 and FORMOSAT-2 Imageries

Authors:
Patricia Cifuentes;José A. Malpica;Francisco J. González-Matesanz
Affiliations:
Mathematics Department, School of Geodesy and Cartography, Alcalá University, Madrid, Spain 28871;Mathematics Department, School of Geodesy and Cartography, Alcalá University, Madrid, Spain 28871;Mathematics Department, School of Geodesy and Cartography, Alcalá University, Madrid, Spain 28871
Venue:
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Year:
2008

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Abstract

This paper defines a methodology for change detection between two multi-spectral imageries taken on two different dates with two different sensors: SPOT-5 and FORMOSAT-2. The characteristics of the imageries are explored to obtain the maximum advantage for change detection, showing how the right combination of bands helps bring out the nature of changes. A methodology is proposed on how to use probability layers instead of the thematic map classification. Results show the advantages of using the probability layer of a supervised classification for green vegetation; this layer provides a useful tool for the analysis of changes in vegetation and buildings.