Similarity measure for spatial-spectral registration in hyperspectral era

In the hyperspectral era, the demand for data registration in spectral region is an important issue in addition to spatial region. Detection of smile and keystone phenomena that are caused by aberrations in spectrometer is related to registration activity, which is crucial for data fusion research. Hyperspectral Imager Suite (HISUI) is a next-generation Japanese optical sensor that is composed of a hyperspectral imager and a multispectral imager, which will be launched on Advanced Land Observation Satellite 3 (ALOS-3). Three similarity measures, normalized cross correlation (NCC), phase correlation (PC) and mutual information (MI), for spatial-spectral registration of hyperspectral data are discussed for Level-1 data processing of HISUI.