Abstract
Derived from Information Theory, the Information Bottleneck principle enables to quantify and qualify the information contained in a signal. This paper presents an algorithm based on the Information Bottleneck principle to analyze Satellite Image Time Series (SITS). The method is composed of a parameter estimation and a model selection. This method has been previously applied to textural and radiometric parametric models and we propose here to extend it to take into account the geometry information. Two approaches are presented. In the first approach, each image of the SITS is segmented and the obtained regions are described by textural models. The Information Bottleneck method is further used to characterize the image segments of the SITS a spatio‐temporal way. In the second method, the geometrical information is extracted from a temporal adjacency graph of the spatial regions, and the radiometric and textural information is then extracted through the Information Bottleneck method. This approach leads to a temporal characterization of the spatial regions of the SITS.
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