High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model
Résumé
In this paper, a method of data visualization and classification performance estimation applied to target classification is proposed. The objective of this paper is to propose a mathematical tool for data characterization. The principle is to use a non linear dimensionality reduction technique to describe our data in a low-dimensional space and to model embedding data by Gaussian mixture model (GMM) to estimate classification performance graphically and analytically.
Domaines
Sciences de l'ingénieur [physics]
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gsi2013_final.pdf (424.86 Ko)
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poster_thomas_boulay.pdf (543.62 Ko)
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