Strategies for Merging Hyperspectral Data of Different Spectral and Spatial Resoultion

摘要: Increasing applications for hyperspectral measurement make increasing demands on the handling of big data. Push broom imaging is a promising technique many applications. The combined registration and spatial data reveal lot information about object. An exemplary well-known further processing to extract feature vectors from such dataset. For quality quantity possible information, it advantageously have spectral wide range Nevertheless, different mainly needs systems. A major problem in using systems combination those set, called cube. aim this work show which methods are principal conceivable usable under circumstances merging datasets with profound analytical view. In addition, some that was done theory design calibration model prototype included.