首页|New SST correction method from multi-satellite based on the coefficient of variation
New SST correction method from multi-satellite based on the coefficient of variation
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NSTL
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维普
In remote sensing sea surface temperature(SST),the traditional fusion method is used to compute the dot product of a subjective weight vector with a satellite measurement vector,while the result requires validation by field measurement.However,field measurement that relative to the satellite measurement is very sparse,many information may not be verified.A relative objective weight vector is constructed by using the limited field measurement,which is based on coefficient of variation method.And then it make an application of the data fusion by the weighted average method in the SST data.fuse SST data with the weighted average method.In this way,some posteriori information can be added to the fusion process.The model reduces the dependence on verification,and some of the satellite measurement can be handled without corresponding to the field measurement,and the fusion result matches transfer errors theory.
coefficient of variation methoderror propagationsea surface temperature(SST)data fusion
ZHONG Fei、LIU Na、LIU Yang、XU Ling-yu
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School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P.R.China
国家自然科学基金Shanghai Leading Academic Discipline Project
NETL
NSTL
万方数据
维普
