论文标题
用内核方法对生物物理参数的一致回归
Consistent regression of biophysical parameters with kernel methods
论文作者
论文摘要
本文介绍了一个新型的统计回归框架，该框架允许结合一致性约束。引入了线性和非线性（基于内核）的公式，都意味着封闭形式的分析解决方案。这些模型利用一组驱动程序的所有信息，同时最大程度地独立于一组辅助，受保护的变量。我们成功说明了叶绿素含量估计的性能。
This paper introduces a novel statistical regression framework that allows the incorporation of consistency constraints. A linear and nonlinear (kernel-based) formulation are introduced, and both imply closed-form analytical solutions. The models exploit all the information from a set of drivers while being maximally independent of a set of auxiliary, protected variables. We successfully illustrate the performance in the estimation of chlorophyll content.
