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Reference control points (RCPs) used to establish the regression model in registration or geometric correction are commonly assumed “perfect”. However, this assumption is often violated in practice due to RCPs actually always containing errors. Moreover, the errors in RCPs are one of main sources lowering the accuracy of geometric correction of uncorrected image. In this case Ordinary least squares...
Meteorological stations often have biased distributions in remote areas, and sample biases typically lead to biased estimation of areal precipitation. We introduce a method termed the Biased Sentinel Hospital based Area Disease Estimation (B-SHADE) to correct for the bias in the locations of meteorological observations and to obtain a best linear unbiased estimation of the mean areal precipitation...
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