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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