用于森林特征和目标检测的认知克里格元模型

2014 International Radar Conference Pub Date : 2014-10-13 DOI:10.1109/RADAR.2014.7060325

Panagiotis Piteros, L. Thirion-Lefevre, R. Guinvarc’h, M. Lambert

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引用次数: 0

摘要

提出了将认知雷达原理应用于森林雷达观测的思路。这意味着实验的自适应设计(DOE)将允许我们构建具有已知不确定性水平的概率代理模型。这些模型显著降低了计算成本，这是在各种配置下运行许多数值模拟时必需的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Cognitive kriging metamodels for forest characterization and target detection

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 simulations in various configurations.

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2014 International Radar Conference

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