Kriging算子及其在遥感影像空间分析中的应用

由于遥感过程的不确定性及地面状况的复杂性，使得一些像元常常难以判读，甚至出现像元丢失，形成信息“缺口”，因此，如何估测难以识别的像元、判读，甚至出现像元丢失，形成信息“缺口”，因此，如何估测难以识别的橡元、内插被丢失的像元，是遥感影像信息提取中面临的一个课题。通过ｋｒｉｇｉｎｇ算子应用于ＴＭ资料空间分析的实验研究，证明了它在这类研究中的作用与精度。

Kriging Algorithm and Its Application to the Spatial Analysis of Remotely Sensed Imagery

Because of the uncertainty of remote sensing process and the complexity of ground features, some piexls are often obscured,even missed. Thus, it is a important problem how to estimate obscured piexls and interpolate values for missing pixels. We demonstrate the usefulness and accuracy of kriging algorithm to the problem by a case study.