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Consideration of smoothing techniques for hyperspectral remote sensing / C. Vaiphasa in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 2 (April 2006)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 60 n° 2 (April 2006) . - pp 91 - 99 Titre : Consideration of smoothing techniques for hyperspectral remote sensing Type de document : Article/Communication Auteurs : C. Vaiphasa, Auteur Année de publication : 2006 Article en page(s) : pp 91 - 99 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] classification dirigée [Termes IGN] filtrage du bruit [Termes IGN] image hyperspectrale [Termes IGN] lissage de données [Termes IGN] modèle statistique Résumé : (Auteur) Spectral smoothing filters are popularly used in a large number of modern hyperspectral remote sensing studies for removing noise from the data. However, most of these studies subjectively apply ad hoc measures to select filter types and their parameters. We argue that this subjectively minded approach is not appropriate for choosing smoothing methods for hyperspectral applications. In our case study, it is proved that smoothing filters can cause undesirable changes to statistical characteristics of the spectral data ; thereby, affecting the results of the analyses that are based on statistical class models. If preserving statistical properties of the original hyperspectral data is desired, smoothing filters should then be used, if necessary, after careful consideration of which smoothing techniques will minimize disturbances to the statistical properties of the original data. A comparative t-test is proposed as a method for choosing a smoothing filter suitable for hyperspectral data at hand. Copyright ISPRS Numéro de notice : A2006-142 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.11.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.11.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27869 [article]

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