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Termes IGN > sciences naturelles > physique > traitement d'image > photogrammétrie > photogrammétrie numérique > modèle numérique de surface
modèle numérique de surfaceSynonyme(s)modèle numérique d'élévation ;modèle numérique d'altitude ;MNE ;MNA ;DEM MNSVoir aussi |
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Quality assessment of SRTM C- and X-band interferometric data: Implications for the retrieval of vegetation canopy height / W.S. Walker in Remote sensing of environment, vol 106 n° 4 (28/02/2007)
[article]
Titre : Quality assessment of SRTM C- and X-band interferometric data: Implications for the retrieval of vegetation canopy height Type de document : Article/Communication Auteurs : W.S. Walker, Auteur ; J.M. Kellndorfer, Auteur ; L.E. Pierce, Auteur Année de publication : 2007 Article en page(s) : pp 428 - 448 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande C
[Termes IGN] bande X
[Termes IGN] bruit (théorie du signal)
[Termes IGN] canopée
[Termes IGN] erreur de mesure
[Termes IGN] erreur relative
[Termes IGN] Etats-Unis
[Termes IGN] filtrage du bruit
[Termes IGN] hauteur des arbres
[Termes IGN] image SRTM
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] qualité des données
[Termes IGN] radargrammétrieRésumé : (Auteur) The Shuttle Radar Topography Mission distinguished itself as the first near-global spaceborne mission to demonstrate direct sensitivity to vertical vegetation structure. Whether this sensitivity is viewed as exploitable signal or unwanted bias, a great deal of interest exists in retrieving vegetation canopy height information from the SRTM data. This study presents a comprehensive application-specific assessment of SRTM data quality, focusing on the characterization and mitigation of two primary sources of relative vertical error: uncompensated Shuttle mast motion and random phase noise. The assessment spans four test sites located in the upper Midwestern United States and examines the dependence of data quality on both frequency, i.e., C-band vs. X-band, and the number of acquired datatakes. The results indicate that the quality of SRTM data may be higher than previously thought. Novel mitigation strategies include a knowledge-based approach to sample averaging, which has the potential to reduce phase noise error by 43 to 80%. The strategies presented here are being implemented as part of an ongoing effort to produce regional- to continental-scale estimates of vegetation canopy height within the conterminous U.S. Copyright Elsevier Numéro de notice : A2007-068 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.09.007 En ligne : https://doi.org/10.1016/j.rse.2006.09.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28433
in Remote sensing of environment > vol 106 n° 4 (28/02/2007) . - pp 428 - 448[article]Generation of geometrically and radiometrically terrain corrected SAR image products / A. Loew in Remote sensing of environment, vol 106 n° 3 (15/02/2007)
[article]
Titre : Generation of geometrically and radiometrically terrain corrected SAR image products Type de document : Article/Communication Auteurs : A. Loew, Auteur ; W. Mauser, Auteur Année de publication : 2007 Article en page(s) : pp 337 - 349 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification dirigée
[Termes IGN] coefficient de rétrodiffusion
[Termes IGN] correction géométrique
[Termes IGN] correction radiométrique
[Termes IGN] géométrie de l'image
[Termes IGN] géoréférencement
[Termes IGN] image E-SAR
[Termes IGN] luminance lumineuse
[Termes IGN] modèle numérique de surface
[Termes IGN] qualité des donnéesRésumé : (Auteur) Terrain undulations affect the geometric and radiometric quality of synthetic aperture radar images. The correction of these effects becomes indispensable when quantitative image analysis is performed with respect to the derivation of geo- and biophysical parameters. The paper presents a rigorous approach for geometric and radiometric correction of SAR images. Using a digital elevation model, the imaging geometry is reconstructed and is used to perform geometric and radiometric correction of terrain induced distortions. The importance of a stringent radiometric correction based on the integration of the image brightness is emphasized. The approach guarantees that the energy contained in the image data is preserved throughout the geocoding process. The resulting backscattering images are fully terrain corrected and can be used for further quantitative investigations and may also improve qualitative studies as e.g. land cover classifications. The technique is applicable for different sensor types and image products, including already geocoded SAR images. The effect of different resolutions of digital elevation models used for the correction of the backscattering coefficient is investigated. Copyright Elsevier Numéro de notice : A2007-067 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.09.002 En ligne : https://doi.org/10.1016/j.rse.2006.09.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28432
in Remote sensing of environment > vol 106 n° 3 (15/02/2007) . - pp 337 - 349[article]An experiment using a circular neighborhood to calculate slope gradient from a DEM / X. Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 2 (February 2007)
[article]
Titre : An experiment using a circular neighborhood to calculate slope gradient from a DEM Type de document : Article/Communication Auteurs : X. Shi, Auteur ; A - Xing Zhu, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 143 - 154 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] données matricielles
[Termes IGN] gradient de pente
[Termes IGN] modèle numérique de surface
[Termes IGN] pente
[Termes IGN] relation topologique
[Termes IGN] relief
[Termes IGN] voisinage (relation topologique)Résumé : (Auteur) The traditional 3 X 3 cell neighbourhood used in a focal operation on a raster layer has a square shape that results in a dimensional neighbourhood of which the orientation is eventually arbitrary to the physical features represented. This paper presents an experiment using a circular neighbourhood to calculate slope gradient. Comparisons of the results from a circular neighbourhood with the results from some traditional methods show that (a) for a smooth surface, the result from a circular neighbourhood is more accurate than that from a square neighbourhood, (b) a circular neighbourhood is generally more sensitive to noise in the input DEM than a square neighbourhood, and (c) in a validation using field measurements, the circular neighbourhood performs better than the square neighbourhood when the ratio of user-specified neighbourhood size to cell size is high. Copyright ASPRS Numéro de notice : A2007-060 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.2.143 En ligne : https://doi.org/10.14358/PERS.73.2.143 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28425
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 2 (February 2007) . - pp 143 - 154[article]Geometric Correction and Digital Elevation Extraction Using Multiple MTI Datasets / J.A. Mercier in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 2 (February 2007)
[article]
Titre : Geometric Correction and Digital Elevation Extraction Using Multiple MTI Datasets Type de document : Article/Communication Auteurs : J.A. Mercier, Auteur ; R.A. Schowengerdt, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 133 - 142 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] extraction du sursol
[Termes IGN] image MTI
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle stéréoscopique
[Termes IGN] Multispectral thermal imager
[Termes IGN] orientation externe
[Termes IGN] orientation interne
[Termes IGN] pas d'échantillonnage au sol
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) Digital Elevation Models (DEMs) are traditionally acquired from a stereo pair of aerial photographs sequentially captured by an airborne metric camera. Standard DEM extraction techniques can be naturally extended to satellite imagery, but the particular characteristics of satellite imaging can cause difficulties. The spacecraft ephemeris with respect to the ground site during image collects is the most important factor in the elevation extraction process. When the angle of separation between the stereo images is small, the extraction process typically produces measurements with low accuracy, while a large angle of separation can cause an excessive number of erroneous points in the DEM from occlusion of ground areas. The use of three or more images registered to the same ground area can potentially reduce these problems and improve the accuracy of the extracted DEM. The pointing capability of some sensors, such as the Multispectral Thermal Imager (MTI), allows for multiple collects of the same area from different perspectives. This functionality of MTI makes it a good candidate for the implementation of a DEM extraction algorithm using multiple images for improved accuracy. Evaluation of this capability and development of algorithms to geometrically model the MTI sensor and extract DEMs from multi-look MTI imagery are described in this paper. An RMS elevation error of 6.3-meters is achieved using 11 ground test points, while the MTI band has a 5-meter ground sample distance. Copyright ASPRS Numéro de notice : A2007-059 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.2.133 En ligne : https://doi.org/10.14358/PERS.73.2.133 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28424
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 2 (February 2007) . - pp 133 - 142[article]2D building change detection from high resolution aerial images and correlation digital surface models / Nicolas Champion (2007)
Titre : 2D building change detection from high resolution aerial images and correlation digital surface models Type de document : Article/Communication Auteurs : Nicolas Champion , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2007 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3-W49 Conférence : PIA 2007, ISPRS Conference on Photogrammetric Image Analysis 19/09/2007 21/09/2007 Munich Allemagne ISPRS OA Archives Importance : pp 197 - 202 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] actualité des données
[Termes IGN] base de données foncières
[Termes IGN] base de données topographiques
[Termes IGN] bâtiment
[Termes IGN] chaîne de traitement
[Termes IGN] détection de changement
[Termes IGN] détection du bâti
[Termes IGN] données localisées 2D
[Termes IGN] image 2D
[Termes IGN] image à haute résolution
[Termes IGN] image aérienne
[Termes IGN] image infrarouge
[Termes IGN] image RVB
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrainRésumé : (auteur) Updating 2D databases has become a crucial issue in most mapping agencies. Such a work traditionally starts out with a change detection phase. A subsequent update phase is then carried out to register changes in the up-to-date database. The first phase is by far the most costly and plodding, as it has until now required field or visual inspection (of orthophotos). The main goal of this paper is to present a new method for detecting changes in the building layer of a 2D cadastral database. This method aims at giving potential changes to a human operator for subsequent validation and update registration. In this paper, we propose a new workflow for the change detection process, by splitting it into 2 separate steps. The first step consists in verifying automatically buildings through a hypothesizeand verify process: the initial description of the database is used to guide the change detection process. The second step consists in extracting new buildings from geometric considerations. In this paper, the method is tested and assessed in a densely built-up area. A specific methodology is firstly employed to estimate the best parameters to use in the system and also to characterise its performance. Results are secondly assessed and show the high potential of our system in such a context. Numéro de notice : C2007-034 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/3-W49/PartA/papers/197_pia07.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92366 Documents numériques
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