热红外遥感线性定标误差影响的贝叶斯估计
A Bayesian Estimator for Linear Calibration Error Effects in Thermal Remote Sensing
摘要：
贝叶斯陆面温度估计先前开发的已扩展到包括不完全已知的增益和偏移校准误差的影响。可以将增益和偏移都视为干扰参数，并通过在其幅度的无信息范围内积分，消除表面温度和发射率估计对精确校准误差的依赖性。
英文摘要：
The Bayesian Land Surface Temperature estimator previously developed has been extended to include the effects of imperfectly known gain and offset calibration errors. It is possible to treat both gain and offset as nuisance parameters and, by integrating over an uninformative range for their magnitudes, eliminate the dependence of surface temperature and emissivity estimates upon the exact calibration error.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
