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Pedestrian network extraction from fused aerial imagery (orthoimages) and laser imagery (lidar) / Piyawan Kasemsuppakorn in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 4 (April 2013)
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Titre : Pedestrian network extraction from fused aerial imagery (orthoimages) and laser imagery (lidar) Type de document : Article/Communication Auteurs : Piyawan Kasemsuppakorn, Auteur ; Hassan A. Karimi, Auteur Année de publication : 2013 Article en page(s) : pp 369 - 379 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données lidar
[Termes IGN] extraction automatique
[Termes IGN] fusion de données
[Termes IGN] image aérienne
[Termes IGN] itinéraire piétionnier
[Termes IGN] orthoimage
[Termes IGN] piéton
[Termes IGN] vectorisationRésumé : (Auteur) A pedestrian network is a topological map that contains the geometric relationship between pedestrian path segments (e.g., sidewalk, crosswalk, footpath), which is needed in a variety of applications, such as pedestrian navigation services. However, current pedestrian networks are not widely available. In an effort to provide an automatic means for creating pedestrian networks, this paper presents a methodology for extracting pedestrian network from aerial and laser images. The methodology consists of data preparation and four steps: object filtering, pedestrian path region extraction, pedestrian network construction, and raster to vector conversion. An experiment, using ten images, was conducted to evaluate the performance of the methodology. Evaluation results indicate that the methodology can extract sidewalk, crosswalk, footpath, and building entrances; it collects pedestrian networks with 61 percent geometrical completeness, 67.35 percent geometrical correctness, 71 percent topological completeness and 51.38 percent topological correctness. Numéro de notice : A2013-206 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.4.369 En ligne : https://doi.org/10.14358/PERS.79.4.369 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32344
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 4 (April 2013) . - pp 369 - 379[article]Quality assessment of cloud-top height estimates from satellite IR radiances using the CALIPSO Lidar / Sabatino, Di Michele in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)
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Titre : Quality assessment of cloud-top height estimates from satellite IR radiances using the CALIPSO Lidar Type de document : Article/Communication Auteurs : Sabatino, Di Michele, Auteur ; Tony Mcnally, Auteur ; Peter Bauer, Auteur ; Iliana Genkova, Auteur Année de publication : 2013 Article en page(s) : pp 2454 - 2464 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Atmospheric Infrared Sounder
[Termes IGN] CALIPSO
[Termes IGN] détection des nuages
[Termes IGN] données lidar
[Termes IGN] estimation de précision
[Termes IGN] radianceRésumé : (Auteur) This paper summarizes the studies performed using data from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) to verify cloud variables in the context of the European Centre for Medium-Range Weather Forecasts assimilation system. In the first part of this paper, the cloud-top height (CTH) derived from the Atmospheric Infrared Sounder (AIRS) radiances has been compared with the same quantity from CALIPSO exploiting the spatial and temporal coincidence guaranteed by the A-Train constellation. In the second part, the CTH from CALIPSO has been used to verify the wind height assignment (HA) for the atmospheric motion vectors (AMVs) derived from Meteosat geostationary cloudy radiances. Two different estimates from AIRS have been considered: one derived from the cloud detection scheme and the other used within the assimilation of infrared (IR) cloudy radiances. The verification of cloud detection for hyperspectral IR sounders has revealed some difficulties with cirrus clouds. The verification of CTH for the assimilation of IR cloudy radiances has shown a reasonable agreement when the lidar signal is fully attenuated but a larger scatter in other conditions. The verification of AMV HA revealed an overall tendency to produce CTHs lower than CALIPSO for high clouds and the opposite for low clouds. Interestingly, a similar behavior was observed in the validation of CTHs for the assimilation of IR cloudy radiances. Numéro de notice : A2013-226 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2210721 En ligne : https://doi.org/10.1109/TGRS.2012.2210721 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32364
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 4 Tome 2 (April 2013) . - pp 2454 - 2464[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013041B RAB Revue Centre de documentation En réserve L003 Disponible Stem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals / Tristan Allouis in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 6 n° 2 part 3 (April 2013)
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Titre : Stem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals Type de document : Article/Communication Auteurs : Tristan Allouis, Auteur ; Sylvie Durrieu, Auteur ; Cédric Vega , Auteur ; Pierre Couteron, Auteur
Année de publication : 2013 Article en page(s) : pp 924 - 934 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse aérienne
[Termes IGN] carte de la végétation
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] estimation statistique
[Termes IGN] forme d'onde pleine
[Termes IGN] modèle mathématique
[Termes IGN] Pinus (genre)
[Termes IGN] signal lidar
[Termes IGN] volume en boisRésumé : (auteur) The diameter at breast height (DBH) is the most extensively measured parameter in the field for estimating stem volume and aboveground biomass of individual trees. However, DBH can not be measured from airborne or spaceborne light detection and ranging (LiDAR) data. Consequently, volume and biomass must be estimated from LiDAR data using other tree metrics. The objective of this paper is to examine whether full-waveform (FW) LiDAR data can improve volume and biomass estimation of individual pine trees, when compared to usual discrete-return LiDAR data. Sets of metrics are derived from canopy height model (CHM-only metrics), from the vertical distribution of discrete-returns (CHM+DR metrics), and from full-waveform LiDAR data (CHM+FW metrics). In each set, the most relevant and non-collinear metrics were selected using a combination of methods using best subset and variance inflation factor, in order to produce predictive models of volume and biomass. CHM-only metrics (tree height and tree bounding volume [tree height x crown area] provided volume and biomass estimates of individual trees with an error (mean error ± standard deviation) of 2% ± 26% and -15% ±49%, which is equivalent to previous studies. CHM+FW metrics did not improve stem volume estimates (5% ± 31%), but they increased the accuracy of aboveground biomass estimates ( -4%±31%). The approach is limited by the delineation of individual trees. However, the results highlight the potential of full-waveform LiDAR data to improve aboveground biomass estimates through a better integration of branch and leaf biomass than with discrete-return LiDAR data. Numéro de notice : A2013-053 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/JSTARS.2012.2211863 Date de publication en ligne : 27/09/2012 En ligne : http://doi.org/10.1109/JSTARS.2012.2211863 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84586
in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing > vol 6 n° 2 part 3 (April 2013) . - pp 924 - 934[article]An improved simple morphological filter for the terrain classification of airborne LIDAR data / Thomas J. Pingel in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)
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Titre : An improved simple morphological filter for the terrain classification of airborne LIDAR data Type de document : Article/Communication Auteurs : Thomas J. Pingel, Auteur ; Keith C. Clarke, Auteur ; William A. Mcbride, Auteur Année de publication : 2013 Article en page(s) : pp 21 - 30 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] réalité virtuelle
[Termes IGN] semis de pointsRésumé : (Auteur) Terrain classification of LIDAR point clouds is a fundamental problem in the production of Digital Elevation Models (DEMs). The Simple Morphological Filter (SMRF) addresses this problem by applying image processing techniques to the data. This implementation uses a linearly increasing window and simple slope thresholding, along with a novel application of image inpainting techniques. When tested against the ISPRS LIDAR reference dataset, SMRF achieved a mean 85.4% Kappa score when using a single parameter set and 90.02% when optimized. SMRF is intended to serve as a stable base from which more advanced progressive filters can be designed. This approach is particularly effective at minimizing Type I error rates, while maintaining acceptable Type II error rates. As a result, the final surface preserves subtle surface variation in the form of tracks and trails that make this approach ideally suited for the production of DEMs used as ground surfaces in immersive virtual environments. Numéro de notice : A2013-112 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.12.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.12.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32250
in ISPRS Journal of photogrammetry and remote sensing > vol 77 (March 2013) . - pp 21 - 30[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013031 RAB Revue Centre de documentation En réserve L003 Disponible Automated urban analysis based on LiDAR-derived building models / Diego Gonzalez-Aguilera in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 2 (March 2013)
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Titre : Automated urban analysis based on LiDAR-derived building models Type de document : Article/Communication Auteurs : Diego Gonzalez-Aguilera, Auteur ; Eugenia Crespo-Matellan, Auteur ; David Hernandez-Lopez, Auteur ; Pablo Rodriguez-Gonzalvez, Auteur Année de publication : 2013 Article en page(s) : pp 1844 - 1851 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] ArcGIS
[Termes IGN] croissance urbaine
[Termes IGN] données lidar
[Termes IGN] modèle numérique du bâti
[Termes IGN] planification urbaine
[Termes IGN] Spatial AnalystRésumé : (Auteur) Building density information plays an essential role in the design, planning, and management of modern cities. This paper presents an automated approach to urban analysis using airborne laser scanner data to derive geometric information (heights, areas, and volumes) and urban density attributes (building coverage ratio and floor area ratio) of buildings, land lots, and urban units. In particular, four urban units are analyzed in the city of Avila, Spain, which has experienced considerable growth in recent years. The urban map and building density results are used to validate the utility of the automated method with respect to cadastral data and applicable regulations (Urban Land Law, 2008, and Urban Regulation General Plan, 2005). The algorithms for these operations are implemented in the Spatial Analyst ArcGIS extension module. Numéro de notice : A2013-137 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2205931 En ligne : https://doi.org/10.1109/TGRS.2012.2205931 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32275
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 3 Tome 2 (March 2013) . - pp 1844 - 1851[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013031B RAB Revue Centre de documentation En réserve L003 Disponible Comparison of forest attributes derived from two terrestrial lidar systems / Mark J. Ducey in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)
PermalinkIGN : les expertises innovantes (spatiales, aériennes, géographiques et forestières) / Anonyme in XYZ, n° 134 (mars - mai 2013)
PermalinkLand cover dependant error intermap IFSAR DTM: Lidar comparison and fusion potential / S. Coveney in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)
PermalinkThe influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans / Pyare Pueschel in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)
PermalinkA framework for the registration and segmentation of heterogeneous lidar data / M. Al-Durgham in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)
PermalinkFrom LiDAR data to forest representation on multi-scale / Freiderike Schwarzbach in Cartographic journal (the), vol 50 n° 1 (February 2013)
PermalinkGeneration and dissemination of a national virtual 3D city and landscape model for the Netherlands / Sander J. Elberink in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)
PermalinkGround filtering and vegetation mapping using multi-return terrestrial laser scanning / Francesco Pirotti in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)
PermalinkMeet Dr Johannes Riegl / P. Ftizgibbon in GEO: Geoconnexion international, vol 12 n° 2 (february 2013)
PermalinkModel driven reconstruction of roofs from sparse LIDAR point clouds / A. Henn in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)
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