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Progressive TIN densification with connection analysis for urban Lidar data / Tao Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 3 (March 2021)
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Titre : Progressive TIN densification with connection analysis for urban Lidar data Type de document : Article/Communication Auteurs : Tao Wang, Auteur ; Lianbin Deng, Auteur ; Yuhong Li, Auteur ; Hao Peng, Auteur Année de publication : 2021 Article en page(s) : pp 205 - 213 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] pente
[Termes IGN] semis de points
[Termes IGN] Triangulated Irregular NetworkRésumé : (Auteur) Urban lidar data are advantageous for capturing the terrain surface of built-up areas, which can be directly used to provide digital surface models. Cloud points are classified into ground points to obtain digital terrain models. This study proposes a method to improve the progressive triangulated irregular network (TIN ) densification method using a TIN connection analysis algorithm, namely, connection analysis via slope analysis. The proposed method comprises five steps: selection of seed points, connection and slope analysis, increasing the seed points, construction of the TIN model of the seed points, and an iterative construction of the final TIN. Seven data sets from the International Society for Photogrammetry and Remote Sensing Working Group are used to test whether the proposed method can preserve discontinuities of landscapes and reduce omission and total errors by an average of 9% and 5%, respectively; achieving such results can reduce the amount of workload required for result modification during posttreatment, thus decreasing costs. Numéro de notice : A2021-243 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.87.3.207 Date de publication en ligne : 01/03/2021 En ligne : https://doi.org/10.14358/PERS.87.3.207 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97291
in Photogrammetric Engineering & Remote Sensing, PERS > vol 87 n° 3 (March 2021) . - pp 205 - 213[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 105-2021031 SL Revue Centre de documentation Revues en salle Disponible Spatial multi-criteria evaluation in 3D context: suitability analysis of urban vertical development / Kendra Munn in Cartography and Geographic Information Science, vol 48 n° 2 (March 2021)
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Titre : Spatial multi-criteria evaluation in 3D context: suitability analysis of urban vertical development Type de document : Article/Communication Auteurs : Kendra Munn, Auteur ; Suzana Dragićević, Auteur Année de publication : 2021 Article en page(s) : pp 105 - 123 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse multicritère
[Termes IGN] combinaison linéaire ponderée
[Termes IGN] compréhension de l'image
[Termes IGN] croissance urbaine
[Termes IGN] densification
[Termes IGN] hauteur du bâti
[Termes IGN] logement
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] planification urbaine
[Termes IGN] urbanisme
[Termes IGN] Vancouver (Colombie britannique)Résumé : (Auteur) Urban densification is often seen as a process that aims to limit the negative environmental impacts of urban sprawl in rapidly growing cities by prioritizing planning policies stimulating vertical growth (or high-rise development) over expansion along the urban fringe. Densification of major Canadian urban areas has led to the proliferation of high-rises with an increasing proportion of residents occupying these buildings rather than traditional individual housing. Thus, there is a need for analytical methods that can evaluate the suitability of different residential units in vertical urban developments based on unique criteria for different stakeholders such as prospective residents, developers, or municipal planners. Multi-criteria evaluation (MCE) analysis with weighted linear combination (WLC) is frequently implemented in geographic information systems (GIS) to identify the appropriate solution(s) for a decision problem. However, there are currently no available MCE methods for spatial analysis that can provide evaluation in a three-dimensional (3D) GIS environment, such as for urban vertical development. Therefore, the main objective of this study is to propose a 3D WLC-MCE suitability analysis method for suitability of high-rise residential units in a dense urban area. Five preference scenarios were developed and applied to data from City of Vancouver, Canada. The results indicate that south-facing units and units on higher floors generally exhibit higher levels of suitability as they are less affected by the noise and pollution of the urban road network and receive more sunlight and ocean views. The proposed 3D MCE approach can be used for urban planning and property tax assessment. Numéro de notice : A2021-096 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2020.1845981 Date de publication en ligne : 03/12/2020 En ligne : https://doi.org/10.1080/15230406.2020.1845981 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97020
in Cartography and Geographic Information Science > vol 48 n° 2 (March 2021) . - pp 105 - 123[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2021021 RAB Revue Centre de documentation En réserve L003 Disponible Improving trajectory estimation using 3D city models and kinematic point clouds / Lucas Lucks in Transactions in GIS, Vol 25 n° 1 (February 2021)
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Titre : Improving trajectory estimation using 3D city models and kinematic point clouds Type de document : Article/Communication Auteurs : Lucas Lucks, Auteur ; Lasse Klingbeil, Auteur ; Lutz Plümer, Auteur ; Youness Dehbi, Auteur Année de publication : 2021 Article en page(s) : pp 238 - 260 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] algorithme ICP
[Termes IGN] bruit (théorie du signal)
[Termes IGN] centrale inertielle
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] interpolation
[Termes IGN] milieu urbain
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modèle sémantique de données
[Termes IGN] navigation autonome
[Termes IGN] semis de pointsRésumé : (Auteur) Accurate and robust positioning of vehicles in urban environments is of high importance for autonomous driving or mobile mapping. In mobile mapping systems, a simultaneous mapping of the environment using laser scanning and an accurate positioning using global navigation satellite systems are targeted. This requirement is often not guaranteed in shadowed cities where global navigation satellite system signals are usually disturbed, weak or even unavailable. We propose a novel approach which incorporates prior knowledge (i.e., a 3D city model of the environment) and improves the trajectory. The recorded point cloud is matched with the semantic city model using a point‐to‐plane iterative closest point method. A pre‐classification step enables an informed sampling of appropriate matching points. Random forest is used as classifier to discriminate between facade and remaining points. Local inconsistencies are tackled by a segmentwise partitioning of the point cloud where an interpolation guarantees a seamless transition between the segments. The general applicability of the method implemented is demonstrated on an inner‐city data set recorded with a mobile mapping system. Numéro de notice : A2021-188 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12719 Date de publication en ligne : 02/01/2021 En ligne : https://doi.org/10.1111/tgis.12719 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97157
in Transactions in GIS > Vol 25 n° 1 (February 2021) . - pp 238 - 260[article]Accurate assessment of protected area boundaries for land use planning using 3D GIS / Dilek Tezel in Geocarto international, vol 36 n° 1 ([01/01/2021])
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Titre : Accurate assessment of protected area boundaries for land use planning using 3D GIS Type de document : Article/Communication Auteurs : Dilek Tezel, Auteur ; Mehmet Buyukdemircioglu, Auteur ; Sultan Kocaman, Auteur Année de publication : 2021 Article en page(s) : pp 96 - 109 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] aire protégée
[Termes IGN] analyse de données
[Termes IGN] analyse visuelle
[Termes IGN] biodiversité
[Termes IGN] conservation des ressources naturelles
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] planification
[Termes IGN] SIG 3D
[Termes IGN] TurquieRésumé : (Auteur) Protected areas (PAs) are essential for ensuring the sustainability of biodiversity and protecting human lives. Efficient and sustainable protection require cooperation of all stakeholders and anticipate the coherence of conservation aims and human use. PAs can limit the human activities and land use alternatives significantly. Participatory planning and monitoring can help to achieve the protection goals and 3D GIS can serve as the base platform for planning. This study investigates the potential of 3D GIS with high-resolution datasets for accurate definition of PA boundaries and demonstrates a case study in Cesme Peninsula, Turkey. The PA boundaries have been examined with respect to the property ownership boundaries and buildings using the 3D city model of Cesme. A conceptual approach for the determination of PA boundaries is proposed. The results show that 3D GIS can support the ecosystem conservation efforts while observing the interests of all stakeholders at the same time. Numéro de notice : A2021-053 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1590466 Date de publication en ligne : 28/05/2019 En ligne : https://doi.org/10.1080/10106049.2019.1590466 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96778
in Geocarto international > vol 36 n° 1 [01/01/2021] . - pp 96 - 109[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2021011 RAB Revue Centre de documentation En réserve L003 Disponible Aleatoric uncertainty estimation for dense stereo matching via CNN-based cost volume analysis / Max Mehltretter in ISPRS Journal of photogrammetry and remote sensing, vol 171 (January 2021)
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Titre : Aleatoric uncertainty estimation for dense stereo matching via CNN-based cost volume analysis Type de document : Article/Communication Auteurs : Max Mehltretter, Auteur ; Christian Heipke, Auteur Année de publication : 2021 Article en page(s) : pp 63 - 75 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] apprentissage profond
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] corrélation épipolaire dense
[Termes IGN] couple stéréoscopique
[Termes IGN] courbe épipolaire
[Termes IGN] disparité
[Termes IGN] effet de profondeur cinétique
[Termes IGN] image RVB
[Termes IGN] modèle d'incertitude
[Termes IGN] modèle stochastique
[Termes IGN] voxelRésumé : (auteur) Motivated by the need to identify erroneous disparity estimates, various methods for the estimation of aleatoric uncertainty in the context of dense stereo matching have been presented in recent years. Especially, the introduction of deep learning based methods and the accompanying significant improvement in accuracy have greatly increased the popularity of this field. Despite this remarkable development, most of these methods rely on features learned from disparity maps only, neglecting the corresponding 3-dimensional cost volumes. However, conventional hand-crafted methods have already demonstrated that the additional information contained in such cost volumes are beneficial for the task of uncertainty estimation. In this paper, we combine the advantages of deep learning and cost volume based features and present a new Convolutional Neural Network (CNN) architecture to directly learn features for the task of aleatoric uncertainty estimation from volumetric 3D data. Furthermore, we discuss and apply three different uncertainty models to train our CNN without the need to provide ground truth for uncertainty. In an extensive evaluation on three datasets using three common dense stereo matching methods, we investigate the effects of these uncertainty models and demonstrate the generality and state-of-the-art accuracy of the proposed method. Numéro de notice : A2021-012 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.11.003 Date de publication en ligne : 18/11/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.11.003 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96415
in ISPRS Journal of photogrammetry and remote sensing > vol 171 (January 2021) . - pp 63 - 75[article]Exemplaires(3)
Code-barres Cote Support Localisation Section Disponibilité 081-2021011 SL Revue Centre de documentation Revues en salle Disponible 081-2021013 DEP-RECP Revue LASTIG Dépôt en unité Exclu du prêt 081-2021012 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt An efficient representation of 3D buildings: application to the evaluation of city models / Oussama Ennafii (2021)
PermalinkAn improved approach based on terrain-dependent mathematical models for georeferencing pushbroom satellite images / Behrooz Moradi in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 1 (January 2021)
PermalinkApport de la photogrammétrie dans la documentation et le suivi d’une tranchée archéologique / Iris Lucas (2021)
PermalinkAssessment of sky diffuse irradiance and building reflected irradiance in cast shadows / Manchun Lei (2021)
PermalinkPermalinkCartographie dense et compacte par vision RGB-D pour la navigation d’un robot mobile / Bruce Canovas (2021)
PermalinkPermalinkDétection et reconstruction 3D d’arbres urbains par segmentation de nuages de points : apport de l’apprentissage profond / Victor Alteirac (2021)
PermalinkFrom point clouds to high-fidelity models - advanced methods for image-based 3D reconstruction / Audrey Richard (2021)
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