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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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Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data / Mritunjay Kumar Singh in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)
[article]
Titre : Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data Type de document : Article/Communication Auteurs : Mritunjay Kumar Singh, Auteur ; R.D. Gupta, Auteur ; Snehmani, Auteur ; Anshuman Bhardwaj, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 506 - 526 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] capteur imageur
[Termes IGN] coordonnées géographiques
[Termes IGN] image Cartosat-1
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modèle stéréoscopiqueRésumé : (Auteur) The orbital and the rational polynomial coefficients (RPC) models are the two most commonly used models to compute a three-dimensional coordinates from an image stereo-pair. But it is still confusing that with the identical user provided inputs, which one of these two models provides more accurate digital elevation model (DEM), especially for mountainous terrain. This study aimed to find out the answer by evaluating the impact of used models on the vertical accuracy of DEM extracted from Cartosat-1 stereo data. We used high-accuracy photogrammetric DEM as the reference DEM. Apart from general variations in statistics, surprisingly in a few instances, both the DEMs provided contrasting results, thus proving the significance of this study. The computed root mean square errors and linear error at 90% (LE90) were lower in case of RPC DEM for various classes of slope, aspect and land cover, thus suggesting its better relative accuracy. Numéro de notice : A2016-169 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1059900 Date de publication en ligne : 01/07/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1059900 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80508
in Geocarto international > vol 31 n° 5 - 6 (May - June 2016) . - pp 506 - 526[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2016031 RAB Revue Centre de documentation En réserve L003 Disponible Multisensor and multispectral Lidar characterization and classification of a forest environment / Christopher Hopkinson in Canadian journal of remote sensing, vol 42 n° 5 ([01/05/2016])
[article]
Titre : Multisensor and multispectral Lidar characterization and classification of a forest environment Type de document : Article/Communication Auteurs : Christopher Hopkinson, Auteur ; Laura Chasmer, Auteur ; Chris Gynan, Auteur ; Craig Mahoney, Auteur ; Michael Sitar, Auteur Année de publication : 2016 Article en page(s) : pp 501 - 520 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] canopée
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] erreur systématique
[Termes IGN] feuille (végétation)
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] rayonnement proche infrarougeRésumé : (auteur) Airborne LiDAR is increasingly used in forest carbon, ecosystem, and resource monitoring. For practical design and manufacture reasons, the 1064 nm near-infrared (NIR) wavelength has been the most commonly adopted, and most literature in this field represents sampling characteristics in this wavelength. However, due to eye-safety and application-specific needs, other common wavelengths are 1550 nm and 532 nm. All provide canopy structure reconstructions that can be integrated or compared through space and time but the consistency or complementarity of 3D airborne LiDAR data sampled at multiple wavelengths is poorly understood. Here, we report on multispectral LiDAR missions carried out in 2013 and 2015 over a managed forest research site. The 1st used 3 independent sensors, and the 2nd used a single sensor carrying 3 lasers. The experiment revealed differences in proportions of returns at ground level, vertical foliage distributions, and gap probability across wavelengths. Canopy attenuation was greatest at 532 nm, presumably due to leaf tissue absorption. Relative to 1064 nm, foliage was undersampled at midheight percentiles at 1550 nm and 532 nm. Multisensor data demonstrated differences in foliage characterization due to combined influences of wavelength and acquisition configuration. Single-sensor multispectral data were more stable but demonstrated clear wavelength-dependent variation that could be exploited in intensity-based land cover classification without the aid of 3D derivatives. This work sets the stage for improvements in land surface classification and vertical foliage partitioning through the integration of active spectral and structural laser return information. Numéro de notice : A2016--128 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1080/07038992.2016.1196584 En ligne : http://dx.doi.org/10.1080/07038992.2016.1196584 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85114
in Canadian journal of remote sensing > vol 42 n° 5 [01/05/2016] . - pp 501 - 520[article]Auscultation de l’état de surface de revêtements routiers par photogrammétrie automatisée / Gildas Allaz in XYZ, n° 146 (mars - mai 2016)
[article]
Titre : Auscultation de l’état de surface de revêtements routiers par photogrammétrie automatisée Type de document : Article/Communication Auteurs : Gildas Allaz, Auteur ; Michel Kasser , Auteur Année de publication : 2016 Article en page(s) : pp 52 - 58 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] aérotriangulation
[Termes IGN] état de surface du sol
[Termes IGN] modèle numérique de surface
[Termes IGN] orthophotographie
[Termes IGN] photogrammétrie numérique
[Termes IGN] réseau routier
[Termes IGN] revêtement
[Termes IGN] surveillance d'ouvrageRésumé : (auteur) Les développements récents en matière de photogrammétrie permettent d'établir une méthodologie automatisée de relevé de l'état de surface des chaussées qui remplace des procédés mécaniques, visuels, ou suréquipés en appareils de haute technologie et donc fort onéreux. Il est maintenant non seulement possible de générer une orthophoto et un modèle numérique de surface (MNS) mais aussi de détecter et d'évaluer les dégradations et déformations des revêtements, le tout à un coût très faible. La large panoplie de produits géoréférencés qui en résulte en fait un outil d'aide à l'analyse et à la décision à échelles géographiques et temporelles multiples pour les spécialistes du domaine routier. Numéro de notice : A2016-259 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80792
in XYZ > n° 146 (mars - mai 2016) . - pp 52 - 58[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 112-2016011 RAB Revue Centre de documentation En réserve L003 Disponible Documents numériques
en open access
A2016-259_Auscultation de l’état de surface de revêtements routiers par photogrammétrie automatiséeAdobe Acrobat PDF UAV monitoring and documentation of a large landslide / Gerald Lindner in Applied geomatics, vol 8 n° 1 (March 2016)
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Titre : UAV monitoring and documentation of a large landslide Type de document : Article/Communication Auteurs : Gerald Lindner, Auteur ; Klaus Schraml, Auteur ; Reinfried Mansberger, Auteur ; Johannes Hübl, Auteur Année de publication : 2016 Article en page(s) : pp 1 - 11 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] Autriche
[Termes IGN] drone
[Termes IGN] effondrement de terrain
[Termes IGN] modèle numérique de surface
[Termes IGN] orthoimage
[Termes IGN] surveillance géologiqueRésumé : (Auteur) In June 2013, heavy precipitation triggered a large earthflow of several million cubic meters in a small village in Austria. A bundle of technologies was applied to monitor and document the landslide, such as geophysical methods (geoelectrics, inclinometer, soil moisture, and soil temperature) and Global Navigation Satellite System (GNSS) measurements. Additionally, an Unmanned Aerial Vehicle (UAV) was used for the periodical assessment of the landslide process. In total, nine flights were performed with a multicopter equipped with a digital single-lens reflex camera (DSLR) that delivered several thousands of images. Based on these images and detailed GNSS measurements of the landslide area, orthophotos as well as generated Digital Surface Models (DSMs) with an accuracy of less than ±10 cm resulted. Fissure tracking, flow direction and velocity, and mass balances as well as the construction progress of the protection and mitigation measures were derived from these data sets. The application of the UAV turned out to be a cost- and time-effective tool for landslide-monitoring that provides researchers and engineers with accurate high-resolution geodata. Numéro de notice : A2016--055 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s12518-015-0165-0 Date de publication en ligne : 09/11/2015 En ligne : http://dx.doi.org/10.1007/s12518-015-0165-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84203
in Applied geomatics > vol 8 n° 1 (March 2016) . - pp 1 - 11[article]Automatic geolocation correction of satellite imagery / Ozge C. Ozcanli in International journal of computer vision, vol 116 n° 3 (February 2016)
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Titre : Automatic geolocation correction of satellite imagery Type de document : Article/Communication Auteurs : Ozge C. Ozcanli, Auteur ; Yi Dong, Auteur ; Joseph L. Mundy, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 263–277 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] alignement
[Termes IGN] coordonnées géodésiques
[Termes IGN] correction automatique
[Termes IGN] géolocalisation
[Termes IGN] géoréférencement
[Termes IGN] image satellite
[Termes IGN] modèle numérique de surface
[Termes IGN] OpenStreetMap
[Termes IGN] orthoimage
[Termes IGN] reconstruction 3D
[Termes IGN] réseau routierRésumé : (auteur) Modern satellites tag their images with geolocation information using GPS and star tracking systems. Depending on the quality of the geopositioning equipment, errors may range from a few meters to tens of meters on the ground. At the current state of art, there is no established method to automatically correct these errors limiting the large-scale joint utilization of cross-platform satellite images. In this paper, an automatic geolocation correction framework that corrects images from multiple satellites simultaneously is presented. As a result of the proposed correction process, all the images are effectively registered to the same absolute geodetic coordinate frame. The usability and the quality of the correction framework are demonstrated through a 3-D surface reconstruction application. The 3-D surface models given by original satellite geopositioning metadata, and the corrected metadata, are compared. The quality difference is measured through an entropy-based metric applied to the orthographic height maps given by the 3-D surface models. Measuring the absolute accuracy of the framework is harder due to lack of publicly available high-precision ground surveys. However, the geolocation of images of exemplar satellites from different parts of the globe are corrected, and the road networks given by OpenStreetMap are projected onto the images using original and corrected metadata to demonstrate the improved quality of alignment. Numéro de notice : A2016--146 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007%2Fs11263-015-0852-7 En ligne : https://doi.org/10.1007/s11263-015-0852-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85905
in International journal of computer vision > vol 116 n° 3 (February 2016) . - pp 263–277[article]DEM-assisted RFM block adjustment of pushbroom nadir viewing HRS imagery / Yongjun Zhang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 2 (February 2016)PermalinkImage based geo-localization in the Alps / Olivier Saurer in International journal of computer vision, vol 116 n° 3 (February 2016)PermalinkLarge-scale road detection in forested mountainous areas using airborne topographic lidar data / António Ferraz in ISPRS Journal of photogrammetry and remote sensing, vol 112 (February 2016)PermalinkA wavelet-based echo detector for waveform LiDAR data / Cheng-Kai Wang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 2 (February 2016)PermalinkPermalinkAuscultation de l'état de surface de revêtements routiers par photogrammétrie automatisée / Gildas Allaz in Géomatique suisse, vol 114 n° 1 (janvier 2016)PermalinkA comprehensive cartographic approach to evacuation map creation for Hurricane Ike in Galveston County, Texas / Yin-Hsuen Chen in Cartography and Geographic Information Science, Vol 43 n° 1 (January 2016)PermalinkDevelopment of a SGM-based multi-view reconstruction framework for aerial imagery / Mathias Rothermel (2016)PermalinkDigital surface model generation over urban areas using high resolution satellite SAR imagery : tomographic techniques and their application to 3-Dchange monitoring / Martina Porfiri (2016)PermalinkFusion of hyperspectral images and digital surface models for urban object extraction / Janja Avbelj (2016)PermalinkA merging solution for close-range DEMs to optimize surface coverage and measurement resolution / Stéphane Bertin in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 1 (January 2016)PermalinkSurface-based matching of 3D point clouds with variable coordinates in source and target system / Xuming Ge in ISPRS Journal of photogrammetry and remote sensing, vol 111 (January 2016)PermalinkDEM measurements of a gravel-bed surface using two scales of images / Chi-Kuei Wang in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)PermalinkMeasuring urban volume: geospatial technique and application / Ronald C. Estoque in Tsukuba geoenvironmental sciences, vol 11 ([01/12/2015])PermalinkEvaluating the impact of leaf-on and leaf-off airborne laser scanning data on the estimation of forest inventory attributes with the area-based approach / Joanne C. White in Canadian Journal of Forest Research, vol 45 n° 11 (November 2015)PermalinkApplying ASPRS accuracy standards to surveys from small unmanned aircraft systems (UAS) / Ken Whitehead in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 10 (October 2015)PermalinkSatellite based mapping and morphogenetic analysis of the landforms in the tertiary fold belts of parts of Tripura, India / Swati Singh in Geocarto international, vol 30 n° 9 - 10 (October - November 2015)PermalinkAnalysis of different methods for 3D reconstruction of natural surfaces from parallel-axes UAV images / Annette Eltner in Photogrammetric record, vol 30 n° 151 (September - November 2015)PermalinkNote technique : Apport de la photogrammétrie au suivi topographique de la flèche littorale de Joal (Sénégal) / Mamadou Sadio in Photo interprétation, European journal of applied remote sensing, vol 51 n° 3 (septembre 2015)PermalinkAutomatic registration of optical aerial imagery to a LiDAR point cloud for generation of city models / Bernard O. Abayowa in ISPRS Journal of photogrammetry and remote sensing, vol 106 (August 2015)Permalink