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Auteur Ramata Magagi |
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Filtering Global land and surface altimetry data (GLA14) for elevation accuracy determination / Jean-Samuel Proulx-Bourque in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 9 (September 2015)
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Titre : Filtering Global land and surface altimetry data (GLA14) for elevation accuracy determination Type de document : Article/Communication Auteurs : Jean-Samuel Proulx-Bourque, Auteur ; Ramata Magagi, Auteur ; Norman T. O’Neill, Auteur Année de publication : 2015 Article en page(s) : pp 701 - 707 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] altimétrie satellitaire par radar
[Termes IGN] altitude
[Termes IGN] Canada
[Termes IGN] données altimétriques
[Termes IGN] données ICEsat
[Termes IGN] filtrage numérique d'imageRésumé : (auteur) This paper presents a filtering method for ICESat Global Land Surface Altimetry data (GLA14), which is based on indicators to detect potentially contaminated GLA14 elevation points. Potential contamination sources include attitude miscalculation, saturated echoes, equipment noise, the atmosphere, and variable elevation within footprints. For a study site located in Northern Canada, this multi-indicator filter provided a 19 percent reduction in the root mean square error for elevation, when compared to Canadian Digital Elevation Data (CDED). This result demonstrates the method’s ability to provide an improved dataset for vertical accuracy evaluation, with respect to unfiltered GLA14 data. The improvement was achieved with a rejection rate of 69 percent. However, due to the high density of the unfiltered GLA14 data over the study site, a spatially homogeneous distribution of elevation points was maintained, even after filtering. Results also showed the rejection efficiency of most indicators, as well as their complementarity. Numéro de notice : A2015-984 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.9.701 En ligne : https://doi.org/10.14358/PERS.81.9.701 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80265
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 9 (September 2015) . - pp 701 - 707[article]