Infrared objects are represented by the intensity distribution, which is defined by the kernel-based density estimation.
红外目标的描述利用目标区域的灰度分布，该灰度分布通过核概率密度估计建立。
This paper introduced the selection principle and method about a reasonable kernel function and bandwidth based on the nonparametric kernel density estimation and kernel regression estimation.
本文基于非参数核密度估计与核回归估计的基础上，介绍了合理选取核函数及窗宽的原则和方法。
The first is kernel density estimation (KDE) detection based random walk ordering filter.
第一种是基于核心密度估计检测的随机游走排序滤波器。
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