Norihide Miyamura

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Hyperspectral imaging sensors suffer from spectral and spatial misregistrations due to optical-system aberrations and misalignments. These artifacts distort spectral signatures that are specific to target objects and thus reduce classification accuracy. The main objective of this work is to detect and correct spectral and spatial misregistrations of(More)
Satellite hyperspectral imaging sensors suffer from ‘’smile’’ and ‘’keystone’’ properties, which appear as distortions of spectrum images. The smile property is a center wavelength shift and the keystone property is a band-to-band misregistration. These distortions degrade the spectrum information and reduce classification accuracies. Furthermore, these(More)
Hyperspectral imaging sensors suffer from spectral and spatial misregistrations. These artifacts prevent the accurate acquisition of the spectra and thus reduce classification accuracy. The main objective of this work is to detect and correct spectral and spatial misregistrations of hyperspectral images. The Hyperion visible near-infrared (VNIR) subsystem(More)
Hyperspectral imaging sensors suffer from spectral and spatial misregistration. Optical-system aberrations and misalignments cause these artifacts mainly due to pushbroom systems, where crosstrack and spectral pixels are continuously recorded at the same time using a two-dimensional detector array. The spectral misregistration, also known as“ smile”or“(More)
Large aperture optical system is required for high resolution and high signal to nose ratio remote sensing observations. In this case, adaptive optics is used to compensate the wavefront aberration generated by the misalignment or the thermal deformation of the optical elements. We use a liquid crystal on silicon spatial light modulator (LCOS-SLM) for the(More)
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