Digital Techniques for Noise Reduction in APT NOAA Satellite Images (Contributo in atti di convegno)

Type
Label
  • Digital Techniques for Noise Reduction in APT NOAA Satellite Images (Contributo in atti di convegno) (literal)
Anno
  • 1986-01-01T00:00:00+01:00 (literal)
Alternative label
  • R. Carla', S. Baronti, V. M. Sacco (1986)
    Digital Techniques for Noise Reduction in APT NOAA Satellite Images
    in Geoscience and Remote Sensing Symposium (IGARSS '86), Zurich, 1986
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • R. Carla', S. Baronti, V. M. Sacco (literal)
Pagina inizio
  • 995 (literal)
Pagina fine
  • 999 (literal)
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  • Pubblicazione ESA non fornita di ISBN contrariamente ai volumi di annate successive. Sono presenti gli identificativi ESA e IEEE come specificato: ESA-SP 254 IEEE Catalog NO. 86CH2268-1 Library of Congress No. 86-80109 (literal)
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  • ESA Proceedings of the 1986 International Geoscience and Remote Sensing Symposium (IGARSS '86) on Remote Sensing: Today's Solutions for Tomorrow's Information Needs (literal)
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  • 254 (literal)
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  • 5 (literal)
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  • IFAC-CNR (literal)
Titolo
  • Digital Techniques for Noise Reduction in APT NOAA Satellite Images (literal)
Abstract
  • Noise reduction filters were tested using NOAA satellite images. The best results, in terms of noise suppression and blur attenuation are obtained by two kinds of digital filtering techniques: weighted median filter with central pixel weight = 3 and decision threshold =12; and extremal filter with maximum number of extremal pixels =3. The other kinds of techniques show a nonuniform behavior, mainly in terms of noise pixel leaving. Both the filters were used in iterative mode: the weighted median filter needs fewer iterations to reach a stable condition than the extremal filter. However the mean computing time per iteration of the extremal filter is 30% less than the weighted filter time. (literal)
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