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III-7 - July 2016 - [actes] XXIII ISPRS Congress, Commission 7, 12–19 July 2016, Prague, Czech Republic (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / Lena Halounova  

Public [n° ou bulletin]  est un bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences / International society for photogrammetry and remote sensing (2012 - )   Titre : III-7 - July 2016 - [actes] XXIII ISPRS Congress, Commission 7, 12–19 July 2016, Prague, Czech Republic Type de document : Périodique Auteurs : Lena Halounova, Éditeur scientifique ; F. Sunar, Éditeur scientifique ; Markéta Potůčková, Éditeur scientifique ; L. Patková, Éditeur scientifique ; M. Yoshimura, Éditeur scientifique ; Uwe Soergel, Éditeur scientifique ; Eyal Ben-Dor, Éditeur scientifique ; J. Smit, Éditeur scientifique ; G. Bareth, Éditeur scientifique ; J. Zhang, Éditeur scientifique ; S. Kaasalainen, Éditeur scientifique ; Batuhan Osmanoglu, Éditeur scientifique ; M. Crespi, Éditeur scientifique ; Michele Crosetto, Éditeur scientifique ; Thomas Blaschke, Éditeur scientifique ; Maria Antonia Brovelli, Éditeur scientifique ; B. Zagajewski, Éditeur scientifique Congrès : ISPRS 2016, 23th international congress (12 - 19 juillet 2016; Prague, République tchèque), Auteur Année de publication : 2016 Langues : Français (fre) Numéro de notice : sans Affiliation des auteurs : non IGN Nature : Numéro de périodique En ligne : http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-7/index.html Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=27508 [n° ou bulletin]

Contient

• Spectral band selection for urban material classification using hyperspectral libraries / Arnaud Le Bris in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-7 (July 2016)  

Single tree detection from airborne laser scanning data using a marked point process based method / J. Zhang in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II-3 W1 (May 2013)  

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > II-3 W1 (May 2013) . - pp 41 - 46 Titre : Single tree detection from airborne laser scanning data using a marked point process based method Type de document : Article/Communication Auteurs : J. Zhang, Auteur ; Gunho Sohn, Auteur ; Mathieu Brédif , Auteur Année de publication : 2013 Conférence : ISPRS VCM 2013, ISPRS Workshop on 3D Virtual City Modeling 28/05/2013 25/05/2013 Regina Saskatchewan - Canada OA ISPRS Annals Article en page(s) : pp 41 - 46 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] algorithme du gradient [Termes IGN] arbre (flore) [Termes IGN] détection d'objet [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] enthalpie libre [Termes IGN] forêt [Termes IGN] modèle numérique de surface de la canopée [Termes IGN] placette d'échantillonnage [Termes IGN] programmation par contraintes [Termes IGN] reconstruction d'objet Mots-clés libres : Single tree detection  marked point process  segmentation Résumé : (auteur) Tree detection and reconstruction is of great interest in large-scale city modelling. In this paper, we present a marked point process model to detect single trees from airborne laser scanning (ALS) data. We consider single trees in ALS recovered canopy height model (CHM) as a realization of point process of circles. Unlike traditional marked point process, we sample the model in a constraint configuration space by making use of image process techniques. A Gibbs energy is defined on the model, containing a data term which judge the fitness of the model with respect to the data, and prior term which incorporate the prior knowledge of object layouts. We search the optimal configuration through a steepest gradient descent algorithm. The presented hybrid framework was test on three forest plots and experiments show the effectiveness of the proposed method. Numéro de notice : A2013-821 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-W1-41-2013 Date de publication en ligne : 16/05/2013 En ligne : http://dx.doi.org/10.5194/isprsannals-II-3-W1-41-2013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80995 [article]

A hybrid system of expanding 2D GIS into 3D space / L. Yu in Cartography and Geographic Information Science, vol 39 n° 3 (July 2012)  

Public [article]  inCartography and Geographic Information Science > vol 39 n° 3 (July 2012) . - pp 140 - 153 Titre : A hybrid system of expanding 2D GIS into 3D space Type de document : Article/Communication Auteurs : L. Yu, Auteur ; D. Sun, Auteur ; Z. Peng, Auteur ; J. Zhang, Auteur Année de publication : 2012 Article en page(s) : pp 140 - 153 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] analyse spatiale [Termes IGN] SIG 2D [Termes IGN] système d'information géographique [Termes IGN] visualisation 3D Résumé : (Auteur) A hybrid system that integrates two-dimensional (2D) GIS and three-dimensional (3D) visualization has been developed to provide unique solutions to application domains where traditional 2D GIS and 3D visualization cannot alone provide a solution. In this paper, we focus on three key issues in realizing such an integrated system, including large-scale terrain rendering, 2D and 3D combination display (for example, rendering 2D GIS layers in 3D space), expanding traditional 2D GIS analysis functions into a 3D environment, and visualizing 3D geographical data. A generic framework is developed to integrate 3D visualization with various types of 2D GIS, such as commercial GIS software, open source GIS software and spatial databases. A prototype 2D and 3D hybrid system that seamlessly integrates 2D GIS (developed with ArcEngine) and 3D rendering engine (developed with DirectX) is then developed based on the framework. In this hybrid system, 2D and 3D data are viewed within the same scene. Multiple 2D GIS layers are overlaid on the base terrain using a Level of Detail (LOD) model. Advanced query functions, data accessing, data management and spatial analysis, which are executed in the traditional 2D GIS, are provided to users in a 3D environment by continuously transforming information between the 2D GIS subsystem and the 3D subsystem. The 3D data are organized and displayed by Keyhole Markup Language (KML) and textured 3D models in the COLLAborative Design Activity (COLLADA)*format. The prototype demonstrates that this hybrid system has effectively addressed the three key issues identified above and that it can seamlessly integrate 2D GIS and 3D visualization. The hybrid system has great potential to be employed in many application domains, such as urban planning, landscape design and environmental decision making, among others, to enhance the 3D design capability and facilitate public participation in the planning, design and decision-making process. Numéro de notice : A2012-491 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1559/15230406393140 En ligne : https://doi.org/10.1559/15230406393140 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31937 [article]

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Modeling and simulation of polarimetric hyperspectral imaging process / J. Zhang in IEEE Transactions on geoscience and remote sensing, vol 50 n° 6 (June 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 6 (June 2012) . - pp 2238 - 2253 Titre : Modeling and simulation of polarimetric hyperspectral imaging process Type de document : Article/Communication Auteurs : J. Zhang, Auteur ; J. Chen, Auteur ; B. Zou, Auteur ; Y. Zhang, Auteur Année de publication : 2012 Article en page(s) : pp 2238 - 2253 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] données polarimétriques [Termes IGN] image hyperspectrale [Termes IGN] modélisation de prise de vue [Termes IGN] polarisation [Termes IGN] réflectance végétale [Termes IGN] simulation d'image Résumé : (Auteur) Polarimetric hyperspectral images can provide spectral, spatial, and polarimetric information of a scene, which are unique and comprehensive for remote sensing applications such as growth monitoring of crops, analysis of water quality, and geology mapping, etc. The researches on polarimetric hyperspectral imaging mechanism and on image characteristics are of great importance for further information extraction and utilization of the images. The purposes of this paper are to analyze the mechanism of polarimetric hyperspectral imaging and to model such a process. The outcome of the paper will help designers and users of a polarimetric hyperspectral imaging system to further understand the system and take full advantages of it. In this paper, a polarimetric hyperspectral imaging model is proposed, in which the influence of skylight on polarization is considered, and subpixel model, polarized reflectance models, and the classical fast canopy reflectance model are combined to model the vegetation canopy. Then, a simulated scene that includes a woodland area with low shrubbery and a road is obtained by using the imaging model. Experiments analyze and discuss the simulation condition and parameters of the imaging models, the uniqueness, and usefulness of the integration of polarimetric and spectral information. Numéro de notice : A2012-265 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2171493 Date de publication en ligne : 28/11/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2171493 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31711 [article]

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Full waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data / J. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 3 (March 2011) . - pp 281 - 290 Titre : Full waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data Type de document : Article/Communication Auteurs : J. Zhang, Auteur ; A. De Gier, Auteur ; Y. Xing, Auteur ; Gunho Sohn, Auteur Année de publication : 2011 Conférence : SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne OA ISPRS Annals Article en page(s) : pp 281 - 290 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] canopée [Termes IGN] capteur spatial [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] couvert forestier [Termes IGN] décomposition de Gauss [Termes IGN] données lidar [Termes IGN] feuillu [Termes IGN] lidar à retour d'onde complète [Termes IGN] Pinophyta [Termes IGN] signal laser Résumé : (Auteur) This study developed a new method to derive forest type information from large-footprint lidar data based on full waveform analysis. For this purpose, the raw waveform was decomposed into Gaussian components, and canopy return and ground return of the waveforms were separated. Two types of metrics hypothesized to have relationship with forest types were derived from the canopy return part of the waveform. The first type of metrics is quantile-based metrics reflecting the vertical distribution of canopy return energy, and the second type is statistical characteristics of the Gaussian components of canopy return part. Support Vector Machine classification was applied to different combinations of the metrics to find their relationship with different forest types. The results showed that the second type of metrics, indicating the canopy stratum characteristics, showed great promise in separating broad-leaved and needle-leaved forests with the accuracy ranging from 88.68 percent to 90.57 percent and Kappa statistic from 0.7406 to 0.7868. Numéro de notice : A2011-081 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.77.3.281 En ligne : https://doi.org/10.14358/PERS.77.3.281 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30862 [article]

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vol 30 n° 20 - October 2009 - Accuracy 2008, [actes], spatial accuracy in remote sensing, Shangai, 25 - 27 June 2008 (Bulletin de International Journal of Remote Sensing IJRS) / J. Zhang

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Least visible path analysis in raster terrain / M. Lu in International journal of geographical information science IJGIS, vol 22 n° 6-7 (june 2008)  

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Remote sensing research issues of the national land use change program of China / J. Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 6 (November-December 2007)  

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OpenCIS: open source GIS-based web community information system / D. Caldeweyher in International journal of geographical information science IJGIS, vol 20 n° 8 (september 2006)  

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Query processing in spatial databases containing obstacles / J. Zhang in International journal of geographical information science IJGIS, vol 19 n° 10 (november 2005)  

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3D visualization of building from Lidar and Ikonos image / Z. Ji (01/10/2002)

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Land cover classification models using Shuttle Imaging Radar (SIR-C) data: a case study in New Hampshire, USA / R. Narayanan in Geocarto international, vol 17 n° 3 (September - November 2002)  

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Wavelet compression and MrSID / J. Zhang (01/09/2001)

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