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Spatial PSF nonuniformity effects in airborne pushbroom imaging spectrometry data / Daniel Schläpfer in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 45 n° 2 (February 2007) . - pp 458 - 468 Titre : Spatial PSF nonuniformity effects in airborne pushbroom imaging spectrometry data Type de document : Article/Communication Auteurs : Daniel Schläpfer, Auteur ; J. Nieke, Auteur ; K.I. Itten, Auteur Année de publication : 2007 Article en page(s) : pp 458 - 468 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] aberration instrumentale [Termes IGN] artefact [Termes IGN] classification barycentrique [Termes IGN] erreur de classification [Termes IGN] image aérienne [Termes IGN] interpolation linéaire [Termes IGN] qualité des données [Termes IGN] tâche image d'un point Résumé : (Auteur) Efficient and accurate imaging spectroscopy data processing asks for perfectly consistent (i.e., ideally uniform) data in both the spectral and spatial dimensions. However, real pushbroom-type imaging spectrometers are affected by various point spread function (PSF) nonuniformity artifacts. First, individual pixels or lines may be missing in the raw data due to bad pixels originating from the detector, readout errors, or even electronic failures. Second, so-called smile and keystone optical aberrations are inherent to imaging spectrometers. Appropriate resampling strategies are required for the preprocessing of such data if emphasis is put on spatial PSF uniformity. So far, nearest neighbour interpolations have been often recommended and used for resampling. This paper shall analyze the radiometric effects if linear interpolation is used to optimize the spatial PSF uniformity. For modeling interpolation effects, an extensive library of measured surface reflectance spectra as well as real imaging spectroscopy data over various land cover types are used. The real measurements are systematically replaced by interpolated values, and the deviation between original and resampled spectra is taken as a quality measure. The effects of nearest neighbour resampling and linear interpolation methods are compared. It is found that linear interpolation methods lead to average radiometric errors below 2% for the correction of spatial PSF nonuniformity in the subpixel domain, whereas the replacement of missing pixels leads to average errors in the range of 10%-20%. Copyright IEEE Numéro de notice : A2007-080 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.886182 En ligne : https://doi.org/10.1109/TGRS.2006.886182 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28445 [article]

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