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Automatic training data generation in deep learning-aided semantic segmentation of heritage buildings / Arnadi Murtiyoso in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol V-2-2022 (2022 edition)  

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol V-2-2022 (2022 edition) . - pp 317 - 324 Titre : Automatic training data generation in deep learning-aided semantic segmentation of heritage buildings Type de document : Article/Communication Auteurs : Arnadi Murtiyoso, Auteur ; Francesca Matrone, Auteur ; M.C. Martini, Auteur ; Andrea Lingua, Auteur ; Pierre Grussenmeyer, Auteur ; Roberto Pierdicca, Auteur Année de publication : 2022 Article en page(s) : pp 317 - 324 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] apprentissage profond [Termes IGN] données d'entrainement (apprentissage automatique) [Termes IGN] monument historique [Termes IGN] segmentation sémantique [Termes IGN] semis de points Résumé : (auteur) In the geomatics domain the use of deep learning, a subset of machine learning, is becoming more and more widespread. In this context, the 3D semantic segmentation of heritage point clouds presents an interesting and promising approach for modelling automation, in light of the heterogeneous nature of historical building styles and features. However, this heterogeneity also presents an obstacle in terms of generating the training data for use in deep learning, hitherto performed largely manually. The current generally low availability of labelled data also presents a motivation to aid the process of training data generation. In this paper, we propose the use of approaches based on geometric rules to automate to a certain degree this task. One object class will be discussed in this paper, namely the pillars class. Results show that the approach managed to extract pillars with satisfactory quality (98.5% of correctly detected pillars with the proposed algorithm). Tests were also performed to use the outputs in a deep learning segmentation setting, with a favourable outcome in terms of reducing the overall labelling time (−66.5%). Certain particularities were nevertheless observed, which also influence the result of the deep learning segmentation. Numéro de notice : A2022-430 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article DOI : 10.5194/isprs-annals-V-2-2022-317-2022 Date de publication en ligne : 17/05/2022 En ligne : https://doi.org/10.5194/isprs-annals-V-2-2022-317-2022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100736 [article]

Data Acquisition and Processing in Cultural Heritage / Gabriele Bitelli (2020)  

Public Titre : Data Acquisition and Processing in Cultural Heritage Type de document : Monographie Auteurs : Gabriele Bitelli, Auteur ; Fulvio Rinaudo, Auteur ; Diego Gonzalez-Aguilera, Auteur ; Pierre Grussenmeyer, Auteur Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 276 p. ISBN/ISSN/EAN : 978-3-03921-741-0 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] acquisition d'images [Termes IGN] archéologie aérienne [Termes IGN] image captée par drone [Termes IGN] image multitemporelle [Termes IGN] patrimoine culturel [Termes IGN] reconstruction 3D [Termes IGN] restauration virtuelle [Termes IGN] télémètre laser terrestre Résumé : (Editeur) Advances in the knowledge of the tangible components (position, size, shape) and intangible components (identity, habits) of an historic building or site involves fundamental and complex tasks in any project related to the conservation of cultural heritage (CH). In recent years, new geotechnologies have proven their usefulness and added value to the field of cultural heritage (CH) in the tasks of recording, modeling, conserving, and visualizing. In addition, current developments in building information modeling (HBIM), allow integration and simulation of different sources of information, generating a digital twin of any complex CH construction. As a result, experts in the area have increased the number of available sensors and methodologies. However, the quick evolution of geospatial technologies makes it necessary to revise their use, integration, and application in CH. This process is difficult to adopt, due to the new options which are opened for the study, analysis, management, and valorization of CH. Therefore, the aim of the present Special Issue is to cover the latest relevant topics, trends, and best practices in geospatial technologies and processing methodologies for CH sites and scenarios as well as to introduce the new tendencies. This book originates from the Special Issue “Data Acquisition and Processing in Cultural Heritage”, focusing primarily on data and sensor integration for CH; documentation/restoration in CH; heritage 3D documentation and modeling of complex CH sites; drone inspections in CH; software development in CH; and augmented reality in CH. It is hoped that this book will provide the advice and guidance required for any CH professional, making the best possible use of these sensors and methods in CH. Numéro de notice : 26499 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03921-741-0 En ligne : https://doi.org/10.3390/books978-3-03921-741-0 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97017

Geospatial recording and point cloud classification of heritage buildings / Arnadi Murtiyoso (2020)  

Public Titre : Geospatial recording and point cloud classification of heritage buildings Type de document : Thèse/HDR Auteurs : Arnadi Murtiyoso, Auteur ; Pierre Grussenmeyer, Directeur de thèse Editeur : Strasbourg : Université de Strasbourg Année de publication : 2020 Importance : 185 p. Format : 21 x 30 cm Note générale : bibliographie Thèse présentée pour obtenir le grade de Docteur de l'Université de Strasbourg en Sciences de l'Ingénieur, Topographie et Géomatique Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] acquisition de données [Termes IGN] contrôle qualité [Termes IGN] lasergrammétrie [Termes IGN] modélisation 3D [Termes IGN] monument historique [Termes IGN] patrimoine immobilier [Termes IGN] segmentation [Termes IGN] semis de points Index. décimale : THESE Thèses et HDR Résumé : (auteur) The documentation of built heritage has seen a significant development these past few decades due to advancements in new 3D sensors and 3D recording techniques. 3D data serve as reliable and tangible archive for historical sites and monuments. Since 3D data have such importance in the field of heritage documentation, quality control is paramount and must be performed before any point cloud processing is even planned to be conducted. The thesis is therefore divided into two parts. The first part concerned mainly the data acquisition and quality control of the point cloud data using the two techniques most commonly used, i.e. photogrammetry and laser scanning. A particular emphasis was also put on the integration of photogrammetry and laser scanning within the context of a multi-scalar documentation of a heritage site. The second part will address the processing of the resulting point cloud, particularly its segmentation and classification. The multi-scalar approach proposed in this thesis is an important point to note, as in many cases a historical building of interest is located in a historical neighbourhood; thus the requirement for a multi-scalar segmentation. By combining these two parts, the thesis had attempted to address the 3D workflow of heritage sites in a holistic manner, from the 3D data acquisition up to the resulting point clouds' segmentation and classification into individual entities in various scale steps. Note de contenu : Introduction I- Geospatial recording and quality control 1- Geospatial recording for heritage 2- Quality control in photogrammetry 3- Integration of Photogrammetry and LaserScanning II- Point cloud processing algorithms 4- The M_HERACLES tool box 5- From Heritage Complex to Heritage buildings 6- From Heritage buildings to architectural elements Conclusions Numéro de notice : 28514 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : thèse de Doctorat : Topographie et Géomatique : Université de Strasbourg : 2020 Organisme de stage : Laboratoire ICube (Strasbourg) nature-HAL : Thèse DOI : sans En ligne : https://tel.archives-ouvertes.fr/tel-02953668/document Format de la ressource électronique : url Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97253

Flexible photogrammetric computations using modular bundle adjustment : The chain rule and the collinearity equations / Niclas Börlin in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 5 (May 2019)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 85 n° 5 (May 2019) . - pp 361 - 368 Titre : Flexible photogrammetric computations using modular bundle adjustment : The chain rule and the collinearity equations Type de document : Article/Communication Auteurs : Niclas Börlin, Auteur ; Arnadi Murtiyoso, Auteur ; Pierre Grussenmeyer, Auteur ; Fabio Menna, Auteur ; Erica Nocerino, Auteur Année de publication : 2019 Article en page(s) : pp 361 - 368 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] colinéarité [Termes IGN] compensation par faisceaux Résumé : (Auteur) The main purpose of this article is to show that photogram-metric bundle-adjustment computations can be sequentially organized into modules. Furthermore, the chain rule can be used to simplify the computation of the analytical Jacobians needed for the adjustment. Novel projection models can be flexibly evaluated by inserting, modifying, or swapping the order of selected modules. As a proof of concept, two variants of the pinhole projection model with Brown lens distortion were implemented in the open-source Damped Bundle Adjustment Toolbox and applied to simulated and calibration data for a nonconventional lens system. The results show a significant difference for the simulated, error-free, data but not for the real calibration data. The current flexible implementation incurs a performance loss. However, in cases where flexibility is more important, the modular formulation should be a useful tool to investigate novel sensors, data-processing techniques, and refractive models. Numéro de notice : A2019-439 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.85.5.361 Date de publication en ligne : 01/05/2019 En ligne : https://doi.org/10.14358/PERS.85.5.361 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92770 [article]

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Documentation of heritage buildings using close-range UAV images: dense matching issues, comparison and case studies / Arnadi Murtiyoso in Photogrammetric record, vol 32 n° 159 (September 2017)  

Public [article]  inPhotogrammetric record > vol 32 n° 159 (September 2017) . - pp 206 - 229 Titre : Documentation of heritage buildings using close-range UAV images: dense matching issues, comparison and case studies Type de document : Article/Communication Auteurs : Arnadi Murtiyoso, Auteur ; Pierre Grussenmeyer, Auteur Année de publication : 2017 Article en page(s) : pp 206 - 229 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse comparative [Termes IGN] appariement dense [Termes IGN] capteur aérien [Termes IGN] drone [Termes IGN] image aérienne [Termes IGN] patrimoine immobilier [Termes IGN] photogrammétrie métrologique [Termes IGN] précision centimétrique [Termes IGN] reconstruction 3D du bâti [Termes IGN] structure-from-motion Résumé : (Auteur) Three-dimensional (3D) documentation of heritage buildings has long employed both image-based and range-based techniques. Unmanned aerial vehicles (UAVs) provide a particular advantage for image-based techniques in acquiring aerial views, which are difficult to attain using classical terrestrial-based methods. The technological development of optical sensors and dense matching algorithms also complement existing photogrammetric workflows for the documentation of heritage objects. In this paper, fundamental concepts in photogrammetry and 3D reconstruction based on structure from motion (SfM) will be briefly reviewed. Two case studies were performed using two types of UAVs, one being a state-of-the-art platform dedicated to obtaining close-range images. Comparisons with laser scanning data were performed and several issues regarding the aerial triangulation and dense matching results were assessed. The results show that although the dense matching of these UAV images may generate centimetre-level precision, a further increase in precision is often hampered by the quality of the onboard sensor. Numéro de notice : A2017-576 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12197 En ligne : http://dx.doi.org/10.1111/phor.12197 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86712 [article]

Process BIM : Une chaîne de traitements pour le tel que construit / Tania Landes in Géomètre, n° 2146 (avril 2017)

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Du nuage de points à la maquette numérique de bâtiment : reconstruction 3D semi-automatique de bâtiments existants / Hélène Macher (2017)  

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Numérisation 3D de la grotte ornée des faux (Dordogne) : apport à l'archéologie et à la cartographie du champ magnétique / Pierre Grussenmeyer in XYZ, n° 138 (mars - mai 2014) 

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Bundle adjustment with and without damping / Niclas Börlin in Photogrammetric record, vol 28 n° 144 (December 2013 - February 2014)  

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An overview of close-range photogrammetry in France / Raphaële Heno in Revue Française de Photogrammétrie et de Télédétection, n° 200 (Novembre 2012)  

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Quality assessment of geometric façade models reconstructed from TLS data / Tania Landes in Photogrammetric record, vol 27 n° 138 (June - August 2012)  

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Les principes fondamentaux de la lasergrammétrie terrestre : Acquisition, traitement des données et applications (partie 2/2) / Tania Landes in XYZ, n° 129 (décembre - février 2011) 

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Les principes fondamentaux de la lasergrammétrie terrestre : Systèmes et caractéristiques (partie 1/2) / Tania Landes in XYZ, n° 128 (septembre - novembre 2011) 

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Expériences de photogrammétrie rapprochée par corrélation épipolaire dense / I. Zeroual in XYZ, n° 127 (juin - août 2011) 

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Lasergrammétrie terrestre / Tania Landes in Collection EDYTEM. cahiers de géographie, n° 12 (01/06/2011)  

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