Satellite multi-spectral images present, compared with panchromatic ones, better spectral resolution (from 0.01 μm to 0.1 μm rather than 0.3 μm or over), but greater pixel dimensions. True colour composition RGB, derived from red, green and blu wavelength bands, has geometric resolution of multi-spectral images which turns out to be therefore smaller of that of the panchromatic one. Pan-Sharpening techniques concur to go beyond this limit and obtain coloured images that have the same pixel dimensions which characterize panchromatic data. In this paper Pan-Sharpening techniques based on HIS (Intensity, Hue, Saturation) model are considered in relation to their application to IKONOS images. Attention is focalized on the principal problem which is generated by the contribution of neared infrared to panchromatic images, and solution proposed in literature are adopted. Applications are conducted on IKONOS images concerning Ustica Isle (Sicily) and results are analyzed.
Applicazione di Tecniche di Pan-Sharpening IHS ad immagini IKONOS
PARENTE, Claudio;SANTAMARIA, Raffaele
2008-01-01
Abstract
Satellite multi-spectral images present, compared with panchromatic ones, better spectral resolution (from 0.01 μm to 0.1 μm rather than 0.3 μm or over), but greater pixel dimensions. True colour composition RGB, derived from red, green and blu wavelength bands, has geometric resolution of multi-spectral images which turns out to be therefore smaller of that of the panchromatic one. Pan-Sharpening techniques concur to go beyond this limit and obtain coloured images that have the same pixel dimensions which characterize panchromatic data. In this paper Pan-Sharpening techniques based on HIS (Intensity, Hue, Saturation) model are considered in relation to their application to IKONOS images. Attention is focalized on the principal problem which is generated by the contribution of neared infrared to panchromatic images, and solution proposed in literature are adopted. Applications are conducted on IKONOS images concerning Ustica Isle (Sicily) and results are analyzed.File | Dimensione | Formato | |
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