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Auteur L. Pierce |
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Evaluation of the horizontal resolution of SRTM elevation data / L. Pierce in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 11 (November 2006)
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Titre : Evaluation of the horizontal resolution of SRTM elevation data Type de document : Article/Communication Auteurs : L. Pierce, Auteur ; J. Kelindorf, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 1235 - 1244 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] lever topographique
[Termes IGN] limite de résolution géométrique
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] qualité géométrique (image)
[Termes IGN] raisonnement inductifRésumé : (Auteur) The SRTM dataset is available at the USGS seamless website with one arc-second pixel spacing for the U.S. Recently, the value for horizontal resolution has been questioned. One paper (Smith and Sandwell, 2003) suggests that 60 meters may be more accurate, implying that the resolution is twice the provided spacing. For users of this data, the horizontal resolution is very important for their analyses. Hence, this paper addresses this important question by using two different approaches: coherence spectra and step-response. The coherence spectra approach uses statistical techniques to compare the SRTM dataset against a more accurate one, while the step response approach uses the observed step response in many areas of the dataset to estimate the width of the averaging function used to produce the SRTM data. Results from this study show that the resolution is between 1 and 1.6 pixels, depending on the local variability of the elevation data; with higher resolution near sharp edges and corners, and lower resolution in smoother areas. Copyright ASPRS Numéro de notice : A2006-492 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.11.1235 En ligne : https://doi.org/10.14358/PERS.72.11.1235 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28216
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 11 (November 2006) . - pp 1235 - 1244[article]