红外线的
核(代数)
热红外
热的
计算机科学
遥感
人工智能
模式识别(心理学)
光学
数学
物理
地质学
气象学
组合数学
作者
Baoxiang Cao,Zunjian Bian,Yan Du,Hua Li,Qing Xiao,Qinhuo Liu
标识
DOI:10.1109/igarss.2019.8898385
摘要
There are four widely-used kernel driven models in the thermal infrared domain, including LSF-Li, RL, Ross-Li and Vinnikov. They have great potentials to achieve the angular effect correction for land surface temperature products. RL and Ross-Li are direct extensions of kernel models in the visible and near infrared region and other two models were directly designed for the thermal infrared region. Their fitting abilities should be evaluated comprehensively at first. Some evaluation works have been reported based on simulated datasets or measured dataset with limited view angles. In this paper, two measured multi-angle datasets with over 104 directions were selected to do evaluation. Both of them were extracted from the airborne measurement using spatial-temporal average method. We found that LSF-Li is always the best one, followed by Ross-Li, RL and Vinnikov.
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