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The STRM data "finishing" process and products / J.A. Slater in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 3 (March 2006)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 3 (March 2006) . - pp 237 - 247 Titre : The STRM data "finishing" process and products Type de document : Article/Communication Auteurs : J.A. Slater, Auteur ; G. Garvey, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 237 - 247 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] données altimétriques [Termes IGN] données matricielles [Termes IGN] identification automatique [Termes IGN] image SRTM [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] MNS SRTM [Termes IGN] modèle numérique de surface [Termes IGN] précision décamétrique [Termes IGN] qualité des données [Termes IGN] radar JPL [Termes IGN] World Geodetic System 1984 Résumé : (Auteur) The Shuttle Radar Topography Mission (SRTM) successfully acquired terrain elevation data for 80 percent of the Earth's landmass in February 2000. The radar system and data collection scheme designed by NASA's Jet Propulsion Laboratory (JPL) met the global requirements of the U.S. Department of Defence for Level 2 Digital Terrain Elevation Data (DTED®) JPL processed the raw data into unfinished DTED® 2 and other products that were delivered to two contractors of the National Geospatial-Intelligence Agency. The contractors edited the unfinished DTED® 2, updated the associated products, and generated finished products for distribution. Automated processes were developed by each contractor to identify, delineate and set heights for lakes, rivers, and ocean coastlines in conformance with an extensive set of editing rules created to maintain consistency and uniformity in the final products. The finished DTED® is significantly better than the 16 m vertical accuracy required by the original specification. Numéro de notice : A2006-108 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.3.237 En ligne : https://doi.org/10.14358/PERS.72.3.237 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27835 [article]

A global assessment of the STRM performance / E. Rodriguez in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 3 (March 2006)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 3 (March 2006) . - pp 249 - 260 Titre : A global assessment of the STRM performance Type de document : Article/Communication Auteurs : E. Rodriguez, Auteur ; C.S. Morris, Auteur ; J.E. Belz, Auteur Année de publication : 2006 Article en page(s) : pp 249 - 260 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] analyse comparative [Termes IGN] erreur aléatoire [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] qualité des données [Termes IGN] réalité de terrain [Termes IGN] SRTM [Termes IGN] test de performance Résumé : (Auteur) The NASA/NGA Shuttle Radar Topography Mission (SRTM) collected interferometric radar data which has been used by the Jet Propulsion Laboratory to generate a near-global topography data product for latitudes smaller than 60°. One of the primary goals of the mission was to produce a data set that was globally consistent and with quantified errors. To achieve this goal, an extensive global ground campaign was conducted by NGA and NASA to collect ground truth that would allow for the global validation of this unique data set. This paper documents the results of this SRTM validation effort using this global data set. The table shown below summarizes our results (all quantities represent 90 percent errors in meters). Numéro de notice : A2006-109 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.3.249 En ligne : https://doi.org/10.14358/PERS.72.3.249 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27836 [article]

Detection of ancient settlement mounds: archaeological survey based on the STRM terrain model / B.H. Menze in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 3 (March 2006)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 3 (March 2006) . - pp 321 - 326 Titre : Detection of ancient settlement mounds: archaeological survey based on the STRM terrain model Type de document : Article/Communication Auteurs : B.H. Menze, Auteur ; J.A. Ur, Auteur ; A.G. Sherrat, Auteur Année de publication : 2006 Article en page(s) : pp 321 - 326 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] apprentissage automatique [Termes IGN] carte archéologique [Termes IGN] classification [Termes IGN] MNS SRTM [Termes IGN] modèle numérique de terrain [Termes IGN] Proche-Orient [Termes IGN] site archéologique Résumé : (Auteur) In the present study we demonstrate the value of the SRTM three arcsecond terrain model for a virtual survey of archaeological sites : the detection and mapping of ancient settlement mounds in the Near East. These so-called "tells" are the result of millennia of occupation within the period from 8000-1000 BC, and form visible landmarks of the world's first farming and urban communities. The SRTM model provides for the first time an opportunity to scan areas not yet surveyed archaeologically on a supra-regional scale and to pinpoint probable tell sites. In order to map these historic monuments for the purpose of settlement-study and conservation, we develop a machine learning classifier which identifies probable tell sites from the terrain model. In a test, point-like elevations of a characteristic tell shape, standing out for more than 5 to 6 m in the DEM were successfully detected (85/133 tells). False positives (3271(600*1200) pixels) were primarily due to natural elevations, resembling tells in height and size. Numéro de notice : A2006-110 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.3.321 En ligne : https://doi.org/10.14358/PERS.72.3.321 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27837 [article]