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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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Automatic 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)
[article]
Titre : Automatic registration of optical aerial imagery to a LiDAR point cloud for generation of city models Type de document : Article/Communication Auteurs : Bernard O. Abayowa, Auteur ; Alper Yilmaz, Auteur ; Russell C. Hardie, Auteur Année de publication : 2015 Article en page(s) : pp 68 - 81 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] algorithme ICP
[Termes IGN] corrélation croisée normalisée
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image aérienne
[Termes IGN] image optique
[Termes IGN] méthode robuste
[Termes IGN] milieu urbain
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] reconstruction 3D
[Termes IGN] scène
[Termes IGN] semis de points
[Termes IGN] superposition d'imagesRésumé : (auteur) This paper presents a framework for automatic registration of both the optical and 3D structural information extracted from oblique aerial imagery to a Light Detection and Ranging (LiDAR) point cloud without prior knowledge of an initial alignment. The framework employs a coarse to fine strategy in the estimation of the registration parameters. First, a dense 3D point cloud and the associated relative camera parameters are extracted from the optical aerial imagery using a state-of-the-art 3D reconstruction algorithm. Next, a digital surface model (DSM) is generated from both the LiDAR and the optical imagery-derived point clouds. Coarse registration parameters are then computed from salient features extracted from the LiDAR and optical imagery-derived DSMs. The registration parameters are further refined using the iterative closest point (ICP) algorithm to minimize global error between the registered point clouds. The novelty of the proposed approach is in the computation of salient features from the DSMs, and the selection of matching salient features using geometric invariants coupled with Normalized Cross Correlation (NCC) match validation. The feature extraction and matching process enables the automatic estimation of the coarse registration parameters required for initializing the fine registration process. The registration framework is tested on a simulated scene and aerial datasets acquired in real urban environments. Results demonstrates the robustness of the framework for registering optical and 3D structural information extracted from aerial imagery to a LiDAR point cloud, when co-existing initial registration parameters are unavailable. Numéro de notice : A2015-722 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.05.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.05.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78369
in ISPRS Journal of photogrammetry and remote sensing > vol 106 (August 2015) . - pp 68 - 81[article]Normalization of TanDEM-X DSM data in urban environments with morphological filters / Christian Geiss in IEEE Transactions on geoscience and remote sensing, vol 53 n° 8 (August 2015)
[article]
Titre : Normalization of TanDEM-X DSM data in urban environments with morphological filters Type de document : Article/Communication Auteurs : Christian Geiss, Auteur ; Michael Wurm, Auteur ; Markus Breunig, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 4348 - 4362 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] Allemagne
[Termes IGN] image TanDEM-X
[Termes IGN] milieu urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] montagne
[Termes IGN] morphologie mathématique
[Termes IGN] TurquieRésumé : (Auteur) The TanDEM-X mission (TDM) is a spaceborne radar interferometer which delivers a global digital surface model (DSM) with an unprecedented spatial resolution. This allows resolving objects above ground such as buildings. Extracting and characterizing those objects in an automated manner represents a challenging problem but opens simultaneously a broad range of large-area applications. In this paper, we discuss and evaluate the suitability of morphological filters (MFs) for the derivation of normalized DSMs from the TDM in complex urban environments and introduce a novel region-growing-based progressive MF procedure. This approach is jointly proposed and can be combined with a postclassification processing scheme to specifically allow for a viable reconstruction of urban morphology in a challenging terrain. The filter approach comprises a multistep procedure using concepts of morphological image filtering, region growing, and interpolation techniques. Therefore, it extends the idea of progressive MFs. The latter aim to identify nonground pixels in the DSM by gradually increasing the size of a structuring element and applying iteratively an elevation difference threshold. After the identification of initial nonground pixels, here, potential nonground pixels are identified within each iteration, and their similarity with respect to neighboring nonground pixels is assessed. Pixels are finally labeled as nonground if a constraint is fulfilled. The postclassification processing scheme adapts techniques of object-based image analyses to further refine regions of classified nonground pixels. Digital terrain models are subsequently generated by interpolating between identified ground pixels. Experimental results are obtained for settlement areas that cover large parts of the cities of Izmir (Turkey) and Wuppertal (Germany). They confirm the capability of the proposed approaches for a reduction of omission errors compared to basic MF-based methods when classifying ground pixe- s, which is favorable in a mountainous terrain with steep slopes. Numéro de notice : A2015-387 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2396195 En ligne : https://doi.org/10.1109/TGRS.2015.2396195 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76866
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 8 (August 2015) . - pp 4348 - 4362[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2015081 RAB Revue Centre de documentation En réserve L003 Disponible The “M” in digital elevation models / XiaoHang Liu in Cartography and Geographic Information Science, Vol 42 n° 3 (July 2015)
[article]
Titre : The “M” in digital elevation models Type de document : Article/Communication Auteurs : XiaoHang Liu, Auteur ; Hai Hu, Auteur ; Peng Hu, Auteur Année de publication : 2015 Article en page(s) : pp 235 - 243 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données lidar
[Termes IGN] généralisation sémantique
[Termes IGN] isomorphisme
[Termes IGN] modèle numérique de surface
[Termes IGN] modélisation 3DRésumé : (auteur) The “M” in digital elevation models (DEM) stands for model, which literally means “a schematic description of a system, theory, or phenomenon that accounts for its known or inferred properties and may be used for further study of its characteristics.” A DEM fulfills the requirement of “a schematic description” of terrain. However, how to make it account for the “known or inferred properties” warrants further scrutiny. This article outlines three properties of terrain and examines their four implications to DEM generation. The three properties are as follows: (1) each terrain point has a single, fixed elevation; (2) terrain points have an order and sequence that is determined by their elevations; and (3) terrain has skeletons. The four implications to DEM generation methods are as follows: (1) a method must be a bijection; (2) a method must be an isomorphism in order to preserve elevation sequence; (3) a method must guarantee that the vertical error at any point, not just checkpoints, is acceptable in order to assure the vertical accuracy of a DEM; and (4) a method must involve generalization if terrain skeletons are to be preserved. These implications are discussed in the context of light detection and ranging-derived DEMs. Generalization is highlighted as the top priority for future research. Numéro de notice : A2015-241 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/15230406.2014.993711 En ligne : https://doi.org/10.1080/15230406.2014.993711 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76239
in Cartography and Geographic Information Science > Vol 42 n° 3 (July 2015) . - pp 235 - 243[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2015031 RAB Revue Centre de documentation En réserve L003 Disponible Determination of the spatial structure of vegetation on the repository of the mine “Fryderyk” in Tarnowskie Góry, based on airborne laser scanning from the ISOK project and digital orthophotomaps / Marta Szostak in Geodesy and cartography, vol 64 n° 1 (June 2015)
[article]
Titre : Determination of the spatial structure of vegetation on the repository of the mine “Fryderyk” in Tarnowskie Góry, based on airborne laser scanning from the ISOK project and digital orthophotomaps Type de document : Article/Communication Auteurs : Marta Szostak, Auteur ; Piotr Wezyk, Auteur ; Marek Pajak, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 87 - 99 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse diachronique
[Termes IGN] canopée
[Termes IGN] couvert végétal
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] flore locale
[Termes IGN] forêt
[Termes IGN] hauteur de la végétation
[Termes IGN] lasergrammétrie
[Termes IGN] mine
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] occupation du sol
[Termes IGN] Pologne
[Termes IGN] site Natura 2000
[Termes IGN] vectorisationRésumé : (auteur) The purpose of this study was to determine the spatial structure of vegetation on the repository of the mine “Fryderyk” in Tarnowskie Góry. Tested area was located in the Upper Silesian Industrial Region (a large industrial region in Poland). It was a unique refuge habitat – Natura2000; PLH240008. The main aspect of this elaboration was to investigate the possible use of geotechniques and generally available geodata for mapping LULC changes and determining the spatial structure of vegetation. The presented study focuses on the analysis of a spatial structure of vegetation in the research area. This exploration was based on aerial images and orthophotomaps from 1947, 1998, 2003, 2009, 2011 and airborne laser scanning data (2011, ISOK project). Forest succession changes which occurred between 1947 and 2011 were analysed. The selected features of vegetation overgrowing spoil heap “Fryderyk” was determined.
The results demonstrated a gradual succession of greenery on soil heap. In 1947, 84% of this area was covered by low vegetation. Tree expansion was proceeding in the westerly and northwest direction. In 2011 this canopy layer covered almost 50% of the research area. Parameters such as height of vegetation, crowns length and cover density were calculated by an airborne laser scanning data. These analyses indicated significant diversity in vertical and horizontal structures of vegetation. The study presents some capacities to use airborne laser scanning for an impartial evaluation of the structure of vegetation.Numéro de notice : A2015-263 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1515/geocart-2015-0007 En ligne : http://dx.doi.org/10.1515/geocart-2015-0007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76311
in Geodesy and cartography > vol 64 n° 1 (June 2015) . - pp 87 - 99[article]Mangrove tree crown delineation from high-resolution imagery / Muditha K. Heenkenda in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 6 (June 2015)
[article]
Titre : Mangrove tree crown delineation from high-resolution imagery Type de document : Article/Communication Auteurs : Muditha K. Heenkenda, Auteur ; Karen E. Joyce, Auteur ; Stefan W. Maier, Auteur Année de publication : 2015 Article en page(s) : pp 471 - 479 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image orientée objet
[Termes IGN] croissance des arbres
[Termes IGN] houppier
[Termes IGN] image à haute résolution
[Termes IGN] image Worldview
[Termes IGN] mangrove
[Termes IGN] modèle numérique de surface
[Termes IGN] objet géographiqueRésumé : (auteur) Mangroves are very dense, spatially heterogeneous, and have limited height variations between neighboring trees. Delineating individual tree crowns is thus very challenging. This study compared methods for isolating mangrove crowns using object based image analysis. A combination of WorldView-2 imagery, a digital surface model, a local maximum filtering technique, and a region growing approach achieved 92 percent overall accuracy in extracting tree crowns. The more traditionally used inverse watershed segmentation method showed low accuracy (35 percent), demonstrating that this method is better suited to homogeneous forests with reasonable height variations between trees. The main challenges with each of the methods tested were the limited height variation between surrounding trees and multiple upward pointing branches of trees. In summary, mangrove tree crowns can be delineated from appropriately parameterized objectbased algorithms with a combination of high-resolution satellite images and a digital surface model. We recommend partitioning the imagery into homogeneous species stands for best results. Numéro de notice : A2015-977 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.81.6.471 En ligne : https://doi.org/10.14358/PERS.81.6.471 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80060
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 6 (June 2015) . - pp 471 - 479[article]UAV photogrammetry for topographic monitoring of coastal areas / J.A. Gonçalves in ISPRS Journal of photogrammetry and remote sensing, vol 104 (June 2015)PermalinkEvaluation of Lidar-derived DEMs through terrain analysis and field / Cody P. Gillin in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 5 (May 2015)PermalinkLidar detection of the ten tallest trees in the Tennessee portion of the Great Smoky Mountains national park / Chris W. Strother in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 5 (May 2015)PermalinkApport du LiDAR dans le géoréférencement d'images hyperspectrales en vue d'un couplage LiDAR/hyperspectral / Antoine Ba in Revue Française de Photogrammétrie et de Télédétection, n° 210 (Avril 2015)PermalinkA greedy-based multiquadric method for LiDAR-derived ground data reduction / Chuanfa Chen in ISPRS Journal of photogrammetry and remote sensing, vol 102 (April 2015)PermalinkForest inventory attribute estimation using airborne laser scanning, aerial stereo imagery, radargrammetry and interferometry–Finnish experiences of the 3D techniques / Markus Holopainen in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W4 (March 2015)PermalinkModelling surface drainage patterns in altered landscapes using LiDAR / J.B. Lindsay in International journal of geographical information science IJGIS, vol 29 n° 3 (March 2015)PermalinkCoregistration refinement of hyperspectral images and DSM: An object-based approach using spectral information / Janja Avbelj in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)PermalinkEvaluation and comparison of different radargrammetric approaches for Digital Surface Models generation from COSMO-SkyMed, TerraSAR-X, RADARSAT-2 imagery: Analysis of Beauport (Canada) test site / P. Capaldo in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)PermalinkPermalink