Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing . vol 72 n° 7Mention de date : July 2006 Paru le : 01/07/2006 ISBN/ISSN/EAN : 0099-1112 |
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Ajouter le résultat dans votre panierA comparative study of Australian cartometric and photogrammetric digital elevation model accuracy / J. Walker in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 7 (July 2006)
[article]
Titre : A comparative study of Australian cartometric and photogrammetric digital elevation model accuracy Type de document : Article/Communication Auteurs : J. Walker, Auteur ; G.R. Willgoose, Auteur Année de publication : 2006 Article en page(s) : pp 771 - 779 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] altimétrie
[Termes IGN] analyse comparative
[Termes IGN] Australie
[Termes IGN] cartométrie
[Termes IGN] données de terrain
[Termes IGN] erreur géométrique
[Termes IGN] modèle numérique de surface
[Termes IGN] pente
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] United States Geological SurveyRésumé : (Auteur) This paper explores the accuracy of Digital Elevation Models (DEMs), with particular reference to Australian published DEMs. Direct comparisons were made between cartometric and automatically measured photogrammetric DEMs at various grid spacings with an accurate and dense set of ground truth data. The cartometric dems were found to be more accurate than the photogrammetric DEMs for the small study site in this paper, with RMS errors in elevation of approximately 3.5 m and 4.5 m, respectively, and maximum absolute errors in elevation of approximately 12 m and 28 m, respectively. An important factor for environmental prediction studies is slope, and RMS errors in slope were approximately 6 percent and 20 percent for the cartometric and photogrammetric DEMs, respectively, with maximum absolute errors in slope of approximately 75 percent and 290 percent, respectively. However, use of suitable post-processing such as filtering may reduce the errors in photogrammetric DEMs to at least the same magnitude as cartometric DEMs. The cartometric DEMs were found to satisfy the USGS specifications for Level 2 data. Copyright ASPRS Numéro de notice : A2006-263 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.7.771 En ligne : https://doi.org/10.14358/PERS.72.7.771 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27990
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 7 (July 2006) . - pp 771 - 779[article]Urban land-use classification using variogram-based analysis with an aerial photograph / S.S. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 7 (July 2006)
[article]
Titre : Urban land-use classification using variogram-based analysis with an aerial photograph Type de document : Article/Communication Auteurs : S.S. Wu, Auteur ; B. Xu, Auteur ; L. Wang, Auteur Année de publication : 2006 Article en page(s) : pp 813 - 822 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse texturale
[Termes IGN] bati
[Termes IGN] classification dirigée
[Termes IGN] classification spectrale
[Termes IGN] Kappa de Cohen
[Termes IGN] milieu urbain
[Termes IGN] photographie aérienne
[Termes IGN] photographie infrarouge couleur
[Termes IGN] utilisation du sol
[Termes IGN] variogramme
[Termes IGN] zone urbaineRésumé : (Auteur) In this study, a variogram-based texture analysis was tested for classifying detailed urban land-use classes, such as mobile home, single-family house, multi-family house, industrial, and commercial from a digital color infrared aerial photograph. Spectral classification was first carried out to separate the building class from non-building classes. Then, a building-presence binary image was generated so that building pixels were assigned a value of "1 " and non-building pixels were assigned a value of "0. " Multiple texture bands were further generated employing a variogram-based texture analysis and used for land-use classification. The generation of the building presence binary image allowed us not only to fully explore the capability of variogram-based analysis on spatial pattern detection, but also to prevent the variogram-based analysis from being disturbed by the natural fluctuation of spectral signals. The result from using a mosaic test image was considered satisfactory with a kappa coefficient of 0.72. Copyright ASPRS Numéro de notice : A2006-264 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.7.813 En ligne : https://doi.org/10.14358/PERS.72.7.813 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27991
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 7 (July 2006) . - pp 813 - 822[article]Automated techniques for environmental monitoring and change analyses for ultra high resolution remote sensing data / Manfred Ehlers in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 7 (July 2006)
[article]
Titre : Automated techniques for environmental monitoring and change analyses for ultra high resolution remote sensing data Type de document : Article/Communication Auteurs : Manfred Ehlers, Auteur ; M. Gaehler, Auteur ; R. Janowsky, Auteur Année de publication : 2006 Article en page(s) : pp 835 - 844 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] ADS40
[Termes IGN] Allemagne
[Termes IGN] analyse diachronique
[Termes IGN] biotope
[Termes IGN] caméra numérique
[Termes IGN] détection de changement
[Termes IGN] DMC
[Termes IGN] Elbe (fleuve)
[Termes IGN] fleuve
[Termes IGN] HRSC
[Termes IGN] image à ultra haute résolution
[Termes IGN] image multitemporelle
[Termes IGN] rivage
[Termes IGN] rivière
[Termes IGN] surveillance écologique
[Termes IGN] système d'information géographiqueRésumé : (Auteur) For monitoring environmental changes, new digital remote sensors have become available that allow monitoring and change detection analyses at resolutions and scales that were deemed impossible just a few years ago. The advent of airborne stereo scanners of ultra high spatial resolution offers the possibility of a complete digital remote sensing processing System. Current sensors include the High-resolution Stereo Camera (HRSC), the ADS-40, and the Digital Mapping Camera (DMC). For automated analysis, however, the new sensors require also new processing techniques. This paper presents results of change monitoring analyses for areas along the shorelines of the Elbe and Weser rivers in North Germany using integrated HRSC and GIS datasets. An automated procedure for highly accurate mapping was developed which is based on a hierarchical stepwise approach integrating GIS methods and digital surface information in this process. This approach allows the production of GIS maps that are more detailed and accurate than those that were previously produced by conventional means. Within the GIS environment, the multitemporal analysis also allows the exact quantification and location of changes of the protected biotope types. Copyright ASPRS Numéro de notice : A2006-265 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.7.835 En ligne : https://doi.org/10.14358/PERS.72.7.835 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27992
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 7 (July 2006) . - pp 835 - 844[article]