Finding Complementary and Reliable Patterns in Displacement Field Time Series of Alpine Glaciers

Abstract : Dynamic systems such as glaciers can be studied using Displacement Field Time Series (DFTS), often derived from Satellite Image Time Series. Even if data mining patterns expressing interesting displacement evolutions can be extracted from DFTS, confidence measures coming along with these series have to be considered to focus on reliable evolutions. This paper introduces a new approach for selecting displacement evolutions that are reliable, informative and complementary. Reported experiments exhibit consistent displacement evolutions of Alpine glaciers and complete the current knowledge of the area.
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Communication dans un congrès
IGARSS 2018 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, Spain. pp.4213-4216, 2018, Proceedings of the 38th IEEE International Geoscience and Remote Sensing Symposium
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Contributeur : Christophe Rigotti <>
Soumis le : mercredi 5 septembre 2018 - 17:45:24
Dernière modification le : mercredi 16 janvier 2019 - 01:18:03
Document(s) archivé(s) le : jeudi 6 décembre 2018 - 19:00:05

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  • HAL Id : hal-01868749, version 1

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Tuan Nguyen, Nicolas Méger, Christophe Rigotti, Catherine Pothier, Emmanuel Trouvé, et al.. Finding Complementary and Reliable Patterns in Displacement Field Time Series of Alpine Glaciers. IGARSS 2018 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, Spain. pp.4213-4216, 2018, Proceedings of the 38th IEEE International Geoscience and Remote Sensing Symposium. 〈hal-01868749〉

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