论文标题
使用多输出高斯过程的生物物理参数时间序列填充差距
Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes
论文作者
论文摘要
在这项工作中，我们基于核心区域的线性模型（LMC）评估了多输出（MO）高斯过程（GP）模型，以估计间隙填充设置下的生物物理参数变量。特别是，我们专注于大米地区的LAI和FAPAR。我们展示了如何使用标准单输出（SO）GP模型解决此问题，以及提出的MO-GP模型如何通过隐式执行跨域信息传输来成功预测这些变量。
In this work we evaluate multi-output (MO) Gaussian Process (GP) models based on the linear model of coregionalization (LMC) for estimation of biophysical parameter variables under a gap filling setup. In particular, we focus on LAI and fAPAR over rice areas. We show how this problem cannot be solved with standard single-output (SO) GP models, and how the proposed MO-GP models are able to successfully predict these variables even in high missing data regimes, by implicitly performing an across-domain information transfer.
