Statistical Modelling and Classification of Asar Alternating Polarisation Sea Ice Data
نویسندگان
چکیده
In this paper we apply scale mixture of Gaussian models to model ASAR AP data. The study has two objectives. First: Are multivariate scale mixture of Gaussian models adequate for describing the statistics of AP data over open sea and sea ice? Second: Does the new parameterbased feature set produced by the statistical modelling allow us to discriminate between sea and ice, and possibly between different classes of sea ice? We will compare our model based classification with a traditional intensity based classification.
منابع مشابه
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