Aliasing Assessment and Mitigation of PRISM Hyperspectral Sensor Simulated Images (Contributo in atti di convegno)

Type
Label
  • Aliasing Assessment and Mitigation of PRISM Hyperspectral Sensor Simulated Images (Contributo in atti di convegno) (literal)
Anno
  • 2003-01-01T00:00:00+01:00 (literal)
Alternative label
  • B. Aiazzi; S. Baronti; A. Capanni; L. Santurri; R. Vitulli (2003)
    Aliasing Assessment and Mitigation of PRISM Hyperspectral Sensor Simulated Images
    in 22nd EARSeL Symposium (European Association of Remote Sensing Laboratories), Praga, Rep. Ceca, 4-6 Giugno 2002
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • B. Aiazzi; S. Baronti; A. Capanni; L. Santurri; R. Vitulli (literal)
Pagina inizio
  • 71 (literal)
Pagina fine
  • 78 (literal)
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  • Proceedings of the 22nd EARSeL Symposium (European Association of Remote Sensing Laboratories), Praga, Rep. Ceca, 4-6 Giugno 2002. (literal)
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  • Rotterdam, Paesi Bassi (literal)
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  • http://www.earsel.org/symposia/2002-symposium-Prague/pdf/010.pdf (literal)
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  • Geoinformation for European-wide integration, Proceedings of the 22nd EARSeL Symposium (literal)
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  • pp. 71-78 (literal)
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  • 8 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Google Scholar (literal)
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  • Institute of Applied Physics \"Nello Carrara\" IFAC-CNR, Firenze, Italy Institute of Applied Physics \"Nello Carrara\" IFAC-CNR, Firenze, Italy Galileo Avionica, Campi Bisenzio, Firenze, Italy Institute of Applied Physics \"Nello Carrara\" IFAC-CNR, Firenze, Italy Vitrociset Netherlands, c/o ESA ESTEC, TOS/ETD, Noordwijk, Netherlands (literal)
Titolo
  • Aliasing Assessment and Mitigation of PRISM Hyperspectral Sensor Simulated Images (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#inCollana
  • Geoinformation for European-wide Integration (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 90-77017-71-2 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • T. Benes (literal)
Abstract
  • The paper proposes a procedure to assess the aliasing effects that may produce distortions on remote sensing images acquired by hyper-spectral push-broom sensors and that arise because of sampling. Real images recorded over different targets at a resolution that is high for the sensor under investigation are used for the analysis. A model for the system modulation transfer function of PRISM hyper-spectral push-broom sensor is developed by taking into account the different contributions due to optical layout, electronics, detector, satellite motion. By using the sensor model, the high resolution images are pre-filtered and spatially re-sampled in order to obtain simulated images of the sensor. Such images are compared with those obtained by an ideal pre-filtering and re-sampling process in order to evidence possible aliasing effects. Quantitative indexes are adopted to assess the presence of aliasing. Digital filtering is adopted to mitigate aliasing effects; to this aim a multi-resolution filter and a fuzzy filter are evaluated. Quantitative and qualitative results show that the proposed filters are effective in aliasing mitigation with negligible penalties on spatial resolution. (literal)
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