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Cognitive kriging metamodels for forest characterization and target detection

Abstract : The idea of applying the cognitive radar principle to the radar observations of forests is presented. It implies an adaptive design of experiments (DOE) that will allow us to construct probabilistic surrogate models with a known level of uncertainty. These models reduce significantly the computational cost, which is mandatory when running many numerical simu-lations in various configurations.
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Submitted on : Wednesday, January 14, 2015 - 1:56:54 PM
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Panagiotis Piteros, Laetitia Thirion-Lefevre, Régis Guinvarc'H, Marc Lambert. Cognitive kriging metamodels for forest characterization and target detection. 2014 International Radar Conference , Oct 2014, Lille, France. 5 p., ⟨10.1109/RADAR.2014.7060325⟩. ⟨hal-01103268⟩



Les métriques sont temporairement indisponibles