Auswahl der wissenschaftlichen Literatur zum Thema „3D visualisation and segmentation“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Inhaltsverzeichnis
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "3D visualisation and segmentation" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "3D visualisation and segmentation"
Gaifas, Lorenzo, Moritz A. Kirchner, Joanna Timmins und Irina Gutsche. „Blik is an extensible 3D visualisation tool for the annotation and analysis of cryo-electron tomography data“. PLOS Biology 22, Nr. 4 (30.04.2024): e3002447. http://dx.doi.org/10.1371/journal.pbio.3002447.
Der volle Inhalt der QuelleJung, Y., H. Kim, B. Park, H. Lee, B. Kim, M. Bang, J. Lee, M. Oh und G. Cho. „EP02.14: The new 3D‐based fetal segmentation and visualisation method“. Ultrasound in Obstetrics & Gynecology 62, S1 (Oktober 2023): 107. http://dx.doi.org/10.1002/uog.26634.
Der volle Inhalt der QuelleKang, Hanwen, und Chao Chen. „Fruit detection, segmentation and 3D visualisation of environments in apple orchards“. Computers and Electronics in Agriculture 171 (April 2020): 105302. http://dx.doi.org/10.1016/j.compag.2020.105302.
Der volle Inhalt der QuelleColombo, E., T. Fick, G. Esposito, M. Germans, L. Regli und T. van Doormaal. „Segmentation techniques of cerebral arteriovenous malformations for 3D visualisation: a systematic review“. Brain and Spine 2 (2022): 101415. http://dx.doi.org/10.1016/j.bas.2022.101415.
Der volle Inhalt der QuelleDury, Richard, Rob Dineen, Anbarasu Lourdusamy und Richard Grundy. „Semi-automated medulloblastoma segmentation and influence of molecular subgroup on segmentation quality“. Neuro-Oncology 21, Supplement_4 (Oktober 2019): iv14. http://dx.doi.org/10.1093/neuonc/noz167.060.
Der volle Inhalt der QuellePatekar, Rahul, Prashant Shukla Kumar, Hong-Seng Gan und Muhammad Hanif Ramlee. „Automated Knee Bone Segmentation and Visualisation Using Mask RCNN and Marching Cube: Data From The Osteoarthritis Initiative“. ASM Science Journal 17 (13.04.2022): 1–7. http://dx.doi.org/10.32802/asmscj.2022.968.
Der volle Inhalt der QuelleLuo, Tess X. H., Wallace W. L. Lai und Zhanzhan Lei. „Intensity Normalisation of GPR C-Scans“. Remote Sensing 15, Nr. 5 (27.02.2023): 1309. http://dx.doi.org/10.3390/rs15051309.
Der volle Inhalt der QuelleMedved, M. S., S. D. Rud, G. E. Trufanov und D. S. Lebedev. „The intraoperative visualisation technique during lead implantation into the cardiac conductive system: aspects of computed tomography: prospective study“. Diagnostic radiology and radiotherapy 14, Nr. 3 (05.10.2023): 46–52. http://dx.doi.org/10.22328/2079-5343-2023-14-3-46-52.
Der volle Inhalt der QuelleForte, Mari Nieves Velasco, Tarique Hussain, Arno Roest, Gorka Gomez, Monique Jongbloed, John Simpson, Kuberan Pushparajah, Nick Byrne und Israel Valverde. „Living the heart in three dimensions: applications of 3D printing in CHD“. Cardiology in the Young 29, Nr. 06 (Juni 2019): 733–43. http://dx.doi.org/10.1017/s1047951119000398.
Der volle Inhalt der QuelleGende, Mateo, Joaquim De Moura, Jorge Novo, Pablo Charlon und Marcos Ortega. „Automatic Segmentation and Intuitive Visualisation of the Epiretinal Membrane in 3D OCT Images Using Deep Convolutional Approaches“. IEEE Access 9 (2021): 75993–6004. http://dx.doi.org/10.1109/access.2021.3082638.
Der volle Inhalt der QuelleDissertationen zum Thema "3D visualisation and segmentation"
Mao, Bo. „Visualisation and Generalisation of 3D City Models“. Doctoral thesis, KTH, Geoinformatik och Geodesi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-48174.
Der volle Inhalt der QuelleQC 20111116
ViSuCity
Dufour, Alexandre. „Segmentation, suivi et visualisation d'objets biologiques en microscopie 3D par fluorescence : Approches par modèles déformables“. Phd thesis, Université René Descartes - Paris V, 2007. http://tel.archives-ouvertes.fr/tel-00271191.
Der volle Inhalt der QuelleLes modèles déformables, également connus sous le nom de contours actifs, font actuellement partie des méthodes de pointe en analyse d'images pour la segmentation et le suivi d'objets grâce à leur robustesse, leur flexibilité et leur représentation à haut niveau sémantique des entités recherchées. Afin de les adapter à notre problématique, nous devons faire face à diverses difficultés. Tout d'abord, les méthodes existantes se réfèrent souvent aux variations locales d'intensité (ou gradients) de l'image pour détecter le contour des objets recherchés. Cette approche est inefficace en microscopie tridimensionnelle par fluorescence, où les gradients sont très peu prononcés selon l'axe de profondeur de l'image. Ensuite, nous devons gérer le suivi d'objets multiples susceptibles d'entrer en contact en évitant leur confusion. Enfin, nous devons mettre en place un système permettant de visualiser efficacement les contours durant leur déformation sans altérer les temps de calcul.
Dans la première partie de ce travail, nous pallions à ces problèmes en proposant un modèle de segmentation et de suivi multi-objets basé sur le formalisme des lignes de niveaux (ou level sets) et exploitant la fonctionnelle de Mumford et Shah. La méthode obtenue donne des résultats quantitatifs satisfaisants, mais ne se prête pas efficacement au rendu 3D de la scène, pour lequel nous sommes tributaires d'algorithmes dédiés à la reconstruction 3D (e.g. la méthode des "Marching Cubes"), souvent coûteux en mémoire et en temps de calcul. De plus, ces algorithmes peuvent induire des erreurs d'approximation et ainsi entraîner une mauvaise interprétation des résultats.
Dans la seconde partie, nous proposons une variation de la méthode précédente en remplaçant le formalisme des lignes de niveaux par celui des maillages triangulaires, très populaire dans le domaine de la conception assistée par ordinateur (CAO) pour leur rendu 3D rapide et précis. Cette nouvelle approche produit des résultats quantitatifs équivalents, en revanche le formalisme des maillages permet d'une part de réduire considérablement la complexité du problème et autorise d'autre part à effectuer un rendu 3D précis de la scène parallèlement au processus de segmentation, réduisant d'autant plus les temps de calculs.
Les performances des deux méthodes proposées sont d'abord évaluées puis comparées sur un jeu de données simulées reproduisant le mieux possible les caractéristiques des images réelles. Ensuite, nous nous intéressons plus particulièrement à l'évaluation de la méthode par maillages sur des données réelles, en évaluant la robustesse et la stabilité de quelques descripteurs de forme simples sur des expériences d'imagerie haut-débit. Enfin, nous présentons des applications concrètes de la méthode à des problématiques biologiques réelles, réalisées en collaboration avec d'autres équipes de l'Institut Pasteur de Corée.
Wang, Chen. „Large-scale 3D environmental modelling and visualisation for flood hazard warning“. Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/3350.
Der volle Inhalt der QuelleBridge, Pete. „The development and evaluation of a novel 3D radiotherapy immersive outlining tool“. Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/123511/1/Peter%20Bridge%20Thesis.pdf.
Der volle Inhalt der QuelleVerdonck, Bert. „Segmentation, mesure et visualisation des vaisseaux sanguins à partir d'angiographies 3d par résonance magnétique et tomodensitométrie helicoidale“. Paris, ENST, 1996. http://www.theses.fr/1996ENST0042.
Der volle Inhalt der QuelleVerdonck, Bert. „Segmentation, mesure et visualisation des vaisseaux sanguins à partir d'angiographies 3D par résonance magnétique et tomodensitométrie hélicoîdale /“. Paris : École nationale supérieure des télécommunications, 1997. http://catalogue.bnf.fr/ark:/12148/cb36703841x.
Der volle Inhalt der QuelleMention parallèle de titre ou de responsabilité : Blood vessel segmentation, quantification and visualization for 3D MR and spiral CT angiography. Textes en français ou en anglais. Bibliogr. p. 151-169. Résumé en français et en anglais.
Rekik, Wafa. „Fusion de données temporelles, ou 2D+t, et spatiales, ou 3D, pour la reconstruction de scènes 3D+t et traitement d'images sphériques : applications à la biologie cellulaire“. Paris 6, 2007. http://www.theses.fr/2007PA066655.
Der volle Inhalt der QuelleMercier, Corentin. „Geometrical modeling, simplification and visualization of brain white matter tractograms“. Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT048.
Der volle Inhalt der QuelleTractography data (fibers) obtained from diffusion MRI present several challenges.In this thesis, we propose some useful methods and algorithms for simplification, visualization, and manipulation of these data.We introduce a new multi-resolution representation for tractograms, faster, and with higher geometric accuracy than existing simplification approaches.We also investigate various geometric representations and focus on moving least square (MLS) projection with algebraic point set surfaces (APSS), on which we reduce the complexity, allowing for the use of global kernels for analysis and modeling.A segmentation technique using the multi-resolution representation is presented, achieving better reproducibility than other approaches.Tractograms being massive, we also introduce a compression algorithm taking advantage of data obtention from diffusion MRI.The algorithm speed even allows for the direct use of compressed data for visualization, as it can be decompressed on-the-fly on the GPU.This research and the obtained results lie at the intersection between Computer Graphics and Medical Data Analysis, paving the way for numerous perspectives
Chassonnery, Pauline. „Modélisation mathématique en 3D de l'émergence de l'architecture des tissus conjonctifs“. Electronic Thesis or Diss., Toulouse 3, 2023. http://www.theses.fr/2023TOU30354.
Der volle Inhalt der QuelleIn this thesis, we investigate whether simple local mechanical interactions between a reduced set of components could govern the emergence of the 3D architecture of biological tissues. To explore this hypothesis, we develop two mathematical models. The first one, ECMmorpho-3D, aims at reproducing a non-specialised connective tissue and is reduced to the Extra-Cellular Matrix (ECM) component, that is a 3D dynamically connected fibre network. The second, ATmorpho-3D, is built by adding to this network spherical cells which spontaneously appear and grow in order to mimic the morphogenesis of Adipose Tissue (AT), a specialised connective tissue with major biomedical importance. We then construct a unified analysis framework to visualise, segment and quantitatively characterise the fibrous and cellular structures produced by our two models. It constitutes a generic tool for the 3D visualisation of systems composed of a mixture of spherical (cells) and rod-like (fibres) elements and for the automatic detection of in such systems of clusters of spherical objects separated by rod-like elements. This tool is also applicable to biological 3D microscopy images, enabling a comparison between in vivo and in silico structures. We study the structures produced by the model ECMmorpho-3D by performing numerical simula- tions. We show that this model is able to spontaneously generate different types of architectures, which we identify and characterise using our analysis framework. An in-depth parametric analysis lead us to identify an intermediate emerging variable, the number of crosslinks per fibre, which explains and partly predicts the fate of the modelled system. A temporal analysis reveals that the characteristic time-scale of the organisation process is a function of the network remodelling speed, and that all systems follow the same, unique evolutionary pathway. Finally, we use the model ATmorpho-3D to explore the influence of round cells over the organisation of a fibre network, taking as reference the model ECMmorpho-3D. We show that the number of cells can influence the local alignment of the fibres but not the global organisation of the network. On the other hand, the cells inside the network spontaneously organise into clusters with realistic morphological features very close to those of in vivo structures, surrounded by sheet-like fibre bundles. Moreover, the distribution of the different morphological types of clusters is similar in in silico and in vivo systems, suggesting that the model is able to produce realistic morphologies not only on the scale of one cluster but also on the scale of the whole system, reproducing the structural variability observed in biological samples. A parametric analysis reveals that the proportion in which each morphology is present in an in silico system is governed mainly by the remodelling characteristic of the fibres, pointing to the essential role of the ECM properties in AT architecture and function (in agreement with several biological results and previous 2D findings). The fact that these very simple mathematical models can produce realistic structures supports our hypothesis that biological tissues architecture could emerge spontaneously from local mechanical inter- actions between the tissue components, independently of the complex biological phenomena taking place around them. This opens many perspectives regarding our understanding of the fundamental principles governing how biological tissue architecture emerges during organogenesis, is maintained throughout life and can be affected by various pathological conditions. Potential applications range from tissue engineering to therapeutic treatment inducing regeneration in adult mammals
Robert, Bruno. „Echographie Tridimensionnelle“. Phd thesis, Télécom ParisTech, 1999. http://tel.archives-ouvertes.fr/tel-00005697.
Der volle Inhalt der QuelleBücher zum Thema "3D visualisation and segmentation"
Shaughnessy, J. 3D visualisation. Manchester: University of Manchester, Department of ComputerScience, 1995.
Den vollen Inhalt der Quelle findenDelengaigne, Anthony. Real-time 3D visualisation system. Oxford: Oxford Brookes University, 2004.
Den vollen Inhalt der Quelle findenHall, Tim. 3D visualisation of mobile robot sensr data. Manchester: University of Manchester, Department of Computer Science, 1997.
Den vollen Inhalt der Quelle findenOttoson, Patrik. Geographic indexing and data management for 3D-visualisation. Stockholm: Royal Institute of Technology, KTH, 2001.
Den vollen Inhalt der Quelle findenBanik, Shantanu, Rangaraj M. Rangayyan und Graham S. Boag. Landmarking and Segmentation of 3D CT Images. Cham: Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-01635-6.
Der volle Inhalt der QuelleJones, Michael. Automatic model acquisition for 3D object recognition and visualisation. Manchester: University of Manchester, 1995.
Den vollen Inhalt der Quelle findenBuchroithner, Manfred. True-3D in Cartography: Autostereoscopic and Solid Visualisation of Geodata. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Den vollen Inhalt der Quelle findenWörz, Stefan. 3D parametric intensity models for the localization of 3D anatomical point landmarks and 3D segmentation of human vessels. Berlin: Akademische Verlagsgesellschaft Aka, 2006.
Den vollen Inhalt der Quelle findenRomano, Alex. I, inventor: 3D mind technology. 4. Aufl. [Place of publication not identified]: A.R.P. Pub. Co., 2008.
Den vollen Inhalt der Quelle findenAdamson, Paul. The design of CAD and the birth of CAID ; and, 2 x 2D = 3D: Visualisation of virtual 3D forms from 2D profiles. don]: Middlesex University, 1992.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "3D visualisation and segmentation"
Skalski, Andrzej, Mirosław Socha, Mariusz Duplaga, Krzysztof Duda und Tomasz Zieliński. „3D Segmentation and Visualisation of Mediastinal Structures Adjacent to Tracheobronchial Tree from CT Data“. In Advances in Intelligent and Soft Computing, 523–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13105-9_52.
Der volle Inhalt der QuelleTschumperlé, David, Christophe Tilmant und Vincent Barra. „3D Visualisation“. In Digital Image Processing with C++, 227–42. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003323693-10.
Der volle Inhalt der QuelleYoung, Peter, und Malcolm Munro. „3D Software Visualisation“. In Visual Representations and Interpretations, 341–50. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0563-3_38.
Der volle Inhalt der QuelleBuchroithner, Manfred F., und Claudia Knust. „True-3D in Cartography—Current Hard- and Softcopy Developments“. In Geospatial Visualisation, 41–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-12289-7_3.
Der volle Inhalt der QuelleWeninger, W. J., Lars-Peter Kamolz und S. H. Geyer. „3D Visualisation of Skin Substitutes“. In Dermal Replacements in General, Burn, and Plastic Surgery, 87–96. Vienna: Springer Vienna, 2013. http://dx.doi.org/10.1007/978-3-7091-1586-2_8.
Der volle Inhalt der QuelleO’Brien, Scarlett, und Nagy Darwish. „3D Visualisation of the Spine“. In Advances in Experimental Medicine and Biology, 139–68. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26462-7_7.
Der volle Inhalt der QuelleMansutti, Alessandro, Mario Covarrubias Rodriguez, Monica Bordegoni und Umberto Cugini. „Augmented Reality Visualisation System“. In Tactile Display for Virtual 3D Shape Rendering, 101–8. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48986-5_8.
Der volle Inhalt der QuelleHeinen, Torsten, Martin May und Benno Schmidt. „3d Visualisation in Spatial Data Infrastructures“. In Smart Graphics, 222–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11536482_20.
Der volle Inhalt der Quellev. Pichler, C., K. Radermacher, W. Boeckmann, G. Jakse und G. Rau. „3D-visualisation for image guided surgery“. In Lecture Notes in Computer Science, 309–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0029250.
Der volle Inhalt der QuelleYazdy, Farzad E., Jon Tyrrell, Mark Riley und Norman Winterbottom. „CARVUPP: Computer Assisted Radiological Visualisation Using Parallel Processing“. In 3D Imaging in Medicine, 363–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84211-5_23.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "3D visualisation and segmentation"
Zhang, Xiangrong, Feng Dong, Gordon Clapworthy, Youbing Zhao und Licheng Jiao. „Semi-supervised Tissue Segmentation of 3D Brain MR Images“. In 2010 14th International Conference Information Visualisation (IV). IEEE, 2010. http://dx.doi.org/10.1109/iv.2010.90.
Der volle Inhalt der QuelleKopacsi, Sandor. „Interactive visualisation in 3D“. In 2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2012. http://dx.doi.org/10.1109/coginfocom.2012.6421930.
Der volle Inhalt der QuelleKapelner, Adam, Peter P. Lee und Susan Holmes. „An Interactive Statistical Image Segmentation and Visualization System“. In International Conference on Medical Information Visualisation - BioMedical Visualisation (MediVis 2007). IEEE, 2007. http://dx.doi.org/10.1109/medivis.2007.5.
Der volle Inhalt der QuelleZhang, Yan, Bogdan J. Matuszewski und Lik-Kwan Shark. „A Novel Medical Image Segmentation Method using Dynamic Programming“. In International Conference on Medical Information Visualisation - BioMedical Visualisation (MediVis 2007). IEEE, 2007. http://dx.doi.org/10.1109/medivis.2007.2.
Der volle Inhalt der QuelleShepherd, Phil. „3D Visual Thinking“. In Electronic Visualisation and the Arts. BCS Learning & Development, 2018. http://dx.doi.org/10.14236/ewic/eva2018.48.
Der volle Inhalt der QuelleEllis, David. „3D Visualisation for Seismic Processing“. In Abu Dhabi International Petroleum Exhibition and Conference. Society of Petroleum Engineers, 2002. http://dx.doi.org/10.2118/78509-ms.
Der volle Inhalt der QuelleKrsek, Premysl, Michal Spanel, Petr Krupa, Ivo Marek und Pavlina Cernochov. „Teeth And Jaw 3D Reconstrucion In Stomatology“. In International Conference on Medical Information Visualisation - BioMedical Visualisation (MediVis 2007). IEEE, 2007. http://dx.doi.org/10.1109/medivis.2007.20.
Der volle Inhalt der QuelleDuncan, Justin, und Frankie Inguanez. „Social Distancing Crowd Segmentation, Estimation and Visualisation“. In 2021 IEEE 11th International Conference on Consumer Electronics (ICCE-Berlin). IEEE, 2021. http://dx.doi.org/10.1109/icce-berlin53567.2021.9720028.
Der volle Inhalt der QuelleMcFarlane, N. J. B., G. J. Clapworthy, A. Agrawal, M. Viceconti, F. Taddei, E. Schileo und F. Baruffaldi. „3D Multiscale Visualisation for Medical Datasets“. In 2008 Fifth International Conference BioMedical Visualization: Information Visualization in Medical and Biomedical Informatics (MEDIVIS). IEEE, 2008. http://dx.doi.org/10.1109/medivis.2008.14.
Der volle Inhalt der QuelleDrenikow, Brandon, David Arppe, Pejman Mirza-Babaei und Andrew Hogue. „Interactive 3D visualisation of playtesting data“. In 2014 IEEE Games, Media, Entertainment (GEM) Conference. IEEE, 2014. http://dx.doi.org/10.1109/gem.2014.7048116.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "3D visualisation and segmentation"
Toutin, Th, A. Redmond, E. Hoeppner, D. Hoja und C. King. RADARSAT and DEM Data Fusion for 3D Visualisation Over the Reunion Island for Geoscientific Applications. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/219317.
Der volle Inhalt der QuelleBuck, Valentin. Digital Earth Viewer. GEOMAR, 2023. http://dx.doi.org/10.3289/sw_6_2023.
Der volle Inhalt der QuelleWang, Song. Metallic Material Image Segmentation by using 3D Grain Structure Consistency and Intra/Inter-Grain Model Information. Fort Belvoir, VA: Defense Technical Information Center, Januar 2015. http://dx.doi.org/10.21236/ada617033.
Der volle Inhalt der QuelleCheniour, Amani, Amir Ziabari, Elena Tajuelo Rodriguez, Mohammed Alnaggar, Yann Le Pape und T. M. Rosseel. Reconstruction of 3D Concrete Microstructures Combining High-Resolution Characterization and Convolutional Neural Network for Image Segmentation. Office of Scientific and Technical Information (OSTI), Februar 2024. http://dx.doi.org/10.2172/2311320.
Der volle Inhalt der QuelleHuang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia und John Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-017.
Der volle Inhalt der QuelleHuang, Haohang, Jiayi Luo, Kelin Ding, Erol Tutumluer, John Hart und Issam Qamhia. I-RIPRAP 3D Image Analysis Software: User Manual. Illinois Center for Transportation, Juni 2023. http://dx.doi.org/10.36501/0197-9191/23-008.
Der volle Inhalt der QuelleBlundell, S., und Philip Devine. Creation, transformation, and orientation adjustment of a building façade model for feature segmentation : transforming 3D building point cloud models into 2D georeferenced feature overlays. Engineer Research and Development Center (U.S.), Januar 2020. http://dx.doi.org/10.21079/11681/35115.
Der volle Inhalt der QuelleCheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li und Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.
Der volle Inhalt der QuelleCheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li und Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.
Der volle Inhalt der QuelleBurks, Thomas F., Victor Alchanatis und Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, Oktober 2009. http://dx.doi.org/10.32747/2009.7591739.bard.
Der volle Inhalt der Quelle