Literatura académica sobre el tema "UAVs photogrammetry"
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Artículos de revistas sobre el tema "UAVs photogrammetry"
Wang, Xi, Zamaan Al-Shabbani, Roy Sturgill, Adam Kirk y Gabriel B. Dadi. "Estimating Earthwork Volumes Through Use of Unmanned Aerial Systems". Transportation Research Record: Journal of the Transportation Research Board 2630, n.º 1 (enero de 2017): 1–8. http://dx.doi.org/10.3141/2630-01.
Texto completoIoli, F., A. Pinto y L. Pinto. "UAV PHOTOGRAMMETRY FOR METRIC EVALUATION OF CONCRETE BRIDGE CRACKS". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (30 de mayo de 2022): 1025–32. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-1025-2022.
Texto completoTrolove, Michael R. y Paul Shorten. "Comparison of four off-the-shelf unmanned aerial vehicles (UAVs) and two photogrammetry programmes for monitoring pasture and cropping field trials". New Zealand Plant Protection 72 (27 de julio de 2019): 185–94. http://dx.doi.org/10.30843/nzpp.2019.72.285.
Texto completoPiech, Izabela y Mateusz Kopciara. "Modernization of buildings in a specific area, using photogrammetric methods". Geomatics, Landmanagement and Landscape 3 (2021): 65–81. http://dx.doi.org/10.15576/gll/2021.3.65.
Texto completoDel Savio, Alexandre Almeida, Ana Luna Torres, Mónica Alejandra Vergara Olivera, Sara Rocio Llimpe Rojas, Gianella Tania Urday Ibarra y Alcindo Neckel. "Using UAVs and Photogrammetry in Bathymetric Surveys in Shallow Waters". Applied Sciences 13, n.º 6 (8 de marzo de 2023): 3420. http://dx.doi.org/10.3390/app13063420.
Texto completoJiménez-Jiménez, Sergio Iván, Waldo Ojeda-Bustamante, Mariana Marcial-Pablo y Juan Enciso. "Digital Terrain Models Generated with Low-Cost UAV Photogrammetry: Methodology and Accuracy". ISPRS International Journal of Geo-Information 10, n.º 5 (29 de abril de 2021): 285. http://dx.doi.org/10.3390/ijgi10050285.
Texto completoCarnevali, L., E. Ippoliti, F. Lanfranchi, S. Menconero, M. Russo y V. Russo. "CLOSE-RANGE MINI-UAVS PHOTOGRAMMETRY FOR ARCHITECTURE SURVEY". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (30 de mayo de 2018): 217–24. http://dx.doi.org/10.5194/isprs-archives-xlii-2-217-2018.
Texto completoSochneva, Svetlana, Nikolay Loginov, Nikolay Trofimov y Dmitriy Filimonenko. "CONDUCTING THE CALIBRATION OF A NON-METRIC CAMERA IN THE UNMANNED AERIAL VEHICLE DURING LAND MONITORING". Agrobiotechnologies and digital farming 1, n.º 4 (28 de diciembre de 2022): 60–65. http://dx.doi.org/10.12737/2782-490x-2022-60-65.
Texto completoMarín-Buzón, Carmen, Antonio Pérez-Romero, José Luis López-Castro, Imed Ben Jerbania y Francisco Manzano-Agugliaro. "Photogrammetry as a New Scientific Tool in Archaeology: Worldwide Research Trends". Sustainability 13, n.º 9 (10 de mayo de 2021): 5319. http://dx.doi.org/10.3390/su13095319.
Texto completoBurdziakowski, Pawel. "Increasing the Geometrical and Interpretation Quality of Unmanned Aerial Vehicle Photogrammetry Products using Super-Resolution Algorithms". Remote Sensing 12, n.º 5 (3 de marzo de 2020): 810. http://dx.doi.org/10.3390/rs12050810.
Texto completoTesis sobre el tema "UAVs photogrammetry"
Gonzales, Jack Joseph. "Comparing UAV and Pole Photogrammetry for Monitoring Beach Erosion". Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/104997.
Texto completoMaster of Science
Beach environments are vulnerable to extreme erosion, especially in the face of sea level rise and large storms like hurricanes. Monitoring erosion is a crucial part of a coastal management strategy, to mitigate risk to coastal hazards like extreme erosion, storm surge, and flooding. Erosion monitoring usually involves repeated elevation surveys to determine how much sand is being lost from the beach, and where that sand is being eroded away. Within the past decade, Structure from Motion (SfM) photogrammetry, the process of deriving ground elevation maps from multiple overlapping aerial photographs, has become a common technique for repeated elevation surveys. Unmanned aerial vehicles (UAVs) are often used to gather aerial imagery for SfM elevation surveys but are limited by poor weather conditions and government flight regulations, both of which can prohibit flight. However, similar aerial photographs can be taken with a camera mounted atop a tall pole, which can be used in wider range of weather conditions and without government regulations, providing an alternative when UAV flight is not an option. This study compares these two platforms for routine beach erosion monitoring surveys, evaluating them based on performance, cost, and feasibility. The UAV system is found to be fast, affordable, and effective, while the pole photogrammetry system is heavily affected by the slow speed of surveying and processing errors that make it unusable without significant improvement.
TEPPATI, LOSE' LORENZO. "Geomatics support to the metric documentation of the archaeological heritage. Tests and validations on the use of low-cost, rapid, image-based sensors and systems". Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2735515.
Texto completoHedqvist, Emma y Daniel Jakobsson. "Uppdatering av nationella höjdmodellen över begränsade områden med hjälp av UAS". Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-22073.
Texto completoIn this thesis we are going to investigate possibility of using UAS, over small areas, for updating national elevation model produced by the National Land Survey of Sweden. The subject of the thesis was proposed by the National Land Survey of Sweden. One of the main objectives of the study was to test if UAS can be used as a complement to traditional aerial photo. The use of UAS has increased over the years within for example geomatics, because it is a great tool when quick and effective results are required. The National Land Survey of Sweden uses airborne laser scanning to generate the national elevation model. The elevation model is then updated by traditional aerial photogrammetry. Other objectives that have been investigated in this study are what uncertainty can be expected with UAS when generating a DEM, the differences in uncertainty between the point cloud generated in this study to the national height model and to the point cloud generated from the traditional photogrammetry and the economic aspects when using UAS. For this purpose data was collected by UAS in Furuvik, Gävle. The flight height was 88 m over the area of about 1 ha. Then a DEM was created and controlled according to the technical specification SIS-TS 21144:2013. In this thesis a comparison between the point cloud generated in this study and the national elevation model has been performed. Uncertainty of the produced DEM using UAS showed very good result in height with a standard deviation of 0.015 m. The point cloud generated from the traditional photogrammetry was 0.315-0.392 m below the point cloud generated in this study, while the point cloud from laser scanning was 0.014-0.155 m above. The results showed that using UAS are very cost-effective to update the national elevation model. It is advisable for the National Land Survey of Sweden to update the national height model over small areas with this method. There will be more than efficient and the costs are small considering the result. In other word this method is to recommend when updating the national elevation model and can be used as a complement to traditional photogrammetry within limited areas. With this method, they will not have to wait for the traditional aerial photography to take place. The technology is constantly moving forward and in the near future laser scanning with UAS will occur. It would be interesting to see the results of that method. It would also be interesting to see if it is possible to exclude the ground control points, and really be able to use direct georeferencing to save time in the field.
Hedenström, Linus y Sebastian Eriksson. "An investigation of detecting potholes with UAV LiDAR and UAV Photogrammetry". Thesis, Högskolan i Gävle, Samhällsbyggnad, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-36836.
Texto completoPotthål skapas genom erosion i vägar och uppstår varje år i vägnätet. Skadornapåverkar inte bara fordonens skick, utan kan även vara orsaken till olyckorsom i vissa fall är dödliga. I dagsläget detekteras potthål genom ockulärt frånfordon av kommunala arbetare eller så rapporteras de in av medborgare via etjänst där en lös beskrivning kan ges angående potthålens egenskaper ochposition.På senare tid har studier utforskat möjligheterna för flygburen inspektion avasfalterade vägar med den nya, kostnadseffektiva, Structure-from-Motion(SfM) tekniken som kan producera 3D-punktmoln från fotogrammetrisk data.Punktmolnen som är framtagna genom denna metod har vidare använtstillsammans med bearbetningsalgoritmer för att detektion och extraktion avpotthål i asfalterade vägar. Dock har resultaten inte varit optimala för attmetoden ska fungera i praktiken. Syftet med den här studien är därför attutforska möjligheten för att använda UAV LiDAR som en bättre metod fördenna process. Punktmoln framtagna genom LiDAR-teknik, mer känt somlaserskanning, kan ha ett flertal potentiella fördelar över SfM som okänslighetmot modelleringsfel och dåliga ljusförhållanden.Denna studie ger svar på hur punktmoln framtagna genom UAV LiDAR ochUAV SfM förhåller sig till varandra när det gäller detektion av potthål i olikastorlekar från asfalterade vägar, där potthålens dimensioner kommer attjämföras mot markbundna kontrollmätningar. Vidare görs en höjdkontrollmot 126 höjdstöd i båda punktmolnen för att jämföra kvaliteten förhöjdmätningar på den asfalterade vägen genom respektive metod.Insamlingen av data gjordes samtidigt under samma flygning för bådametoderna. Drönaren som användes var Microdrones mdLiDAR3000DL aaSmed en RIEGL miniVUX-1DL laserskanner och en Sony RX1R II 42,4megapixelkamera monterad. Mjukvarorna som har använts för bearbetning ärCloudCompare för filtrering av brus med mera och TerraScan för självadetektions -och extraktionsprocessen.Resultatet visar att det är möjligt att extrahera potthål från LiDAR-baseradepunktmoln med en mindre bredd på minst 16,5 cm och ett djup på 2,7 cm.Standardavvikelsen för potthålens bredd är 1,4 cm och 6,7 mm i djup.Grupper av avvikande punkter skapades på vägen i det SfM-baseradepunktmolnen som en följd av ett modelleringsfel i skuggområden på vägen,vilket vidare gjorde detektion -och extraktionsprocessen omöjlig med denframtagna metoden.
Maier, Kathrin. "Direct multispectral photogrammetry for UAV-based snow depth measurements". Thesis, KTH, Geoinformatik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254566.
Texto completoPå grund av klimatförändringar och naturliga meteorologiska händelser i arktis behövs mer exakta snökvalitetsprognoser för att stödja samernas rensköttsamhällen i norra Sverige som har problem med att anpassa sig till det snabbt föränderliga arktiska klimatet. Rumslig snödjupsfördelning är en avgörande parameter för att inte bara bedöma snökvaliteten utan även för flera miljöforskning och sociala markanvändningsändamål. Detta står i motsats till den nuvarande tillgången till överkomliga och effektiva metoder för snöövervakning för att uppskatta sådan extremt varierande parameter i tid och rum. I detta arbete presenteras och testas en ny metod för att bestämma rumslig snödjupssdistribution i utmanande alpin terräng under en fältstudie som genomfördes i Tarfala i norra Sverige i april 2019. Via fotogrammetrisk bildbehandlingsteknik hämtades snöytemodeller i 3D med hjälp av en multispektral kamera monterad på en liten obemannad drönare. En viktig fördel, i jämförelse med konventionella fotogrammetriska undersökningar, är användningen av exakt RTK-positioneringsteknik som möjliggör direkt georeferencing och eliminerar behovet av markkontrollpunkter. Den kontinuerliga snödjupfördelningen hämtas genom att ytmodellerna delas upp i snöfria respektive snötäckta undersökningsområden. En omfattande felsökning som baseras på markmätningar utförs, inklusive en analys av effekten av multispektrala bilder. Resultaten från denna studie visar att den famtagna metoden kan producera högupplösta snötäckta höjdmodeller i 3D (< 7 cm/pixel) av alpina områden på upp till 8 hektar på ett snabbt, pålitligt och kostnadseffektivt sätt. Den övergripande RMSE för det beräknade snödjupet är 7,5 cm för data som förvärvats under idealiska undersökningsförhållanden. Som ett led i det svenska projektet “Snow4all” används resultaten från projektet för att förbättra och validera storskaliga snömodeller för att bättre förutse snökvaliteten i norra Sverige.
Nevins, Robert Pardy. "Georeferencing Unmanned Aerial Systems Imagery via Registration with Geobrowser Reference Imagery". The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500378454106286.
Texto completoDe, Lama Blasco Violeta. "Precision Analysis of Photogrammetric Data Collection Using UAV". Thesis, KTH, Geodesi och satellitpositionering, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209260.
Texto completoLindström, Simon. "Utveckling av metoder för att säkerställa kvaliteten på höjddata insamlad med UAV : Fastställande av tillvägagångssätt vid luftburen datainsamling". Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-84722.
Texto completoThe company Team Exact delivers measurement technical services, and the main business is aimed at the construction and land industry. The company uses UAS and offers services to customers and delivers products such as orthophotos and DEMs that can be used for mapping, volume calculations and planning. Team Exact uses the consulting company SkyMap’s web-based platform for photogrammetric processing of UAV-generated aerial images. DEM needs to achieve good positional uncertainty, to achieve HMK standard level 3, it is required that the basis for construction documents has a positional uncertainty of 0.02–0.05 m / 0.03–0.07 m (level / height). Team Exact achieves good positional uncertainty in horizontal coordinates but has varying results in height reproduction. The study thus aims to find methods to ensure the height within a study area with varying topography, terrain and ground surfaces. Factors to be investigated are ground control points, RTK data, flight paths, camera settings and conceivable measures in varying topography, as well as seeing trends in how the height representation differs on different ground surfaces. A coordinate network was established over the study area with three established coordinate reference points, the points were measured with static NRTK measurement 1 minute. The network was levelled with the total station and then control points, profiles, surfaces, and ground control points were measured. The study investigated the location uncertainty with 0, 5, 9 and 12 ground control points. The UAV used in the study is equipped with an RTK module and was therefore expected to provide positioning data that was worth investigating. The placement of the ground support points was planned with four constants in the outer corner of the study area and a fifth constant at the highest level of the study area. The remaining points were placed in an even distribution over the area’s peaks and valleys. The evaluated flight methods were rooted in previous studies. Common settings across all methods were the study area delimitation, 40 m flight altitude and the flight speed of 3 m/s. Remaining were floating parameters that were of value to investigate. The study adjusted the parameters regarding flight path, coverage, camera angle and camera settings. In total, there were three flight methods where the four different ground support combinations were examined, which gave 12 processes to evaluate. The evaluation was performed against 77 control points where the RMSE value for height and plane was examined. The control points were evenly distributed over the surface and soil types. A further analysis was performed with volume calculations between the reference terrain models and the generated terrain models. Flight method 3 gave the best results where the photogrammetry setting Double Grid was used and the overlap was 80/60 % and the camera was tilted to -70 °. The sensor sensitivity was set to ISO100, the shutter had an aperture value of f/5 and the shutter speed was set to 1/500s. The results of the study indicate that flight method 3, which was levelled with 12 ground support points, generated the best results on a positional uncertainty in horizontal coordinates of 0,015 m and 0,035 m in height.
Woodget, Amy. "Quantifying physical river habitat parametres using hyperspatial resolution UAS imagery and SfM-photogrammetry". Thesis, University of Worcester, 2015. http://eprints.worc.ac.uk/3830/.
Texto completoShahbazi, Mozhdeh. "On precise three-dimensional environment modeling via UAV-based photogrammetric systems". Thèse, Université de Sherbrooke, 2016. http://hdl.handle.net/11143/9439.
Texto completoRésumé : Les images acquises à l’aide d’aéronefs sans pilote (ASP) permettent de produire des données de résolutions spatiales et temporelles uniques pour la modélisation tridimensionnelle (3D). Les solutions développées pour ce secteur d’activité sont principalement basées sur des concepts de photogrammétrie et peuvent être identifiées comme des systèmes photogrammétriques embarqués sur aéronefs sans pilote (SP-ASP). Ils sont utilisés dans plusieurs applications environnementales où l’information géospatiale et visuelle est essentielle. Ces applications incluent notamment la gestion des ressources naturelles (ex. : agriculture de précision), la sécurité publique et militaire (ex. : gestion du trafic), les services d’ingénierie (ex. : inspection de bâtiments) et les services de santé publique (ex. : épidémiologie et gestion des risques). Les SP-ASP peuvent être subdivisés en catégories selon les besoins en termes de précision et de résolution. En effet, dans certains cas, tel qu’en ingénierie, l’information sur l’environnement doit être de haute précision et de haute résolution (ex. : modélisation 3D avec une précision et une résolution inférieure à un centimètre). Pour d’autres applications, tel qu’en gestion de la faune sauvage, des niveaux de précision et de résolution moindres peut être suffisants (ex. : résolution de l’ordre de quelques décimètres). Cependant, même dans ce type d’applications les caractéristiques des SP-ASP devraient être prises en considération dans le développement des systèmes et dans leur utilisation, et ce, pour atteindre les résultats visés. À cet égard, cette thèse présente une revue exhaustive des applications de l’imagerie aérienne acquise par ASP et de déterminer les challenges les plus courants. Cette étude a également permis d’établir les caractéristiques et exigences spécifiques des SP-ASP qui sont généralement ignorées ou partiellement discutées dans les études récentes. En conséquence, la première partie de cette thèse traite des aspects méthodologiques et d’expérimentation de la mise en place d’un SP-ASP. Le système développé a été évalué pour la modélisation précise d’une gravière et utilisé pour réaliser des mesures de changement volumétrique. Cette application a été retenue pour deux raisons principales. Premièrement, ce type de milieu fournit un environnement difficile pour la modélisation, et ce, en termes de changement d’échelle, de changement de relief du terrain ainsi que la grande diversité de structures et de textures. Deuxièment, le suivi de mines à ciel ouvert exige un niveau de précision élevé, ce qui justifie les efforts déployés pour mettre au point un SP-ASP de haute précision. Les composantes matérielles du système consistent en un ASP à propulsion électrique de type hélicoptère, d’une caméra numérique à haute résolution ainsi qu’une station inertielle. La composante logicielle est composée de plusieurs programmes développés particulièrement pour calibrer la caméra et la plateforme, intégrer les systèmes, enregistrer les données, planifier les paramètres de vol et détecter automatiquement les points de contrôle au sol. Les détails complets du système sont abordés dans la thèse et des solutions sont proposées afin d’améliorer le système et la qualité des données photogrammétriques produites. La précision des résultats a été évaluée sous diverses conditions de cartographie, incluant le géoréférencement direct et indirect avec un nombre, une répartition et des types de points de contrôle variés. De plus, les effets de la configuration des images et la stabilité du réseau sur la précision de la modélisation ont été évalués. La deuxième partie de la thèse porte sur l’amélioration des techniques de reconstruction éparse et dense. Les solutions proposées sont des alternatives aux techniques de photogrammétrie aérienne traditionnelle et adaptée aux caractéristiques particulières de l’imagerie acquise à basse altitude par ASP. Tout d’abord, une méthode robuste de correspondance éparse et d’estimation de la géométrie épipolaire a été développée. L’élément clé de cette méthode est sa capacité à gérer le pourcentage très élevé des valeurs aberrantes (erreurs entre les points correspondants) avec une efficacité de calcul remarquable en comparaison avec les techniques usuelles. Ensuite, une stratégie d’ajustement de bloc basée sur l’intégration de pseudoobservations du modèle Gauss-Helmert a été proposée. Le principal avantage de cette stratégie consistait à contrôler les effets négatifs du réseau d’images instable et des images bruitées sur la précision de l’autocalibration. Une implémentation éparse de cette stratégie a aussi été réalisée, ce qui a permis de traiter des jeux de données contenant des millions de points de liaison. Finalement, les concepts de courbes intrinsèques ont été revisités pour l’appariement stéréo dense. La technique proposée pourrait atteindre un haut niveau de précision et d’efficacité en recherchant uniquement dans une petite portion de l’espace de recherche des disparités ainsi qu’en traitant les occlusions et les ambigüités d’appariement. Ces solutions photogrammétriques ont été largement testées à l’aide de données synthétiques, d’images à courte portée ainsi que celles acquises sur le site de la gravière. Le système a démontré sa capacité a modélisation dense de l’environnement avec une très haute exactitude en atteignant une précision 3D absolue de l’ordre de 11±7 mm.
Libros sobre el tema "UAVs photogrammetry"
UAV Photogrammetry and Remote Sensing. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-1453-6.
Texto completoJiang, Wanshou, San Jiang y Xiongwu Xiao, eds. Techniques and Applications of UAV-Based Photogrammetric 3D Mapping. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-5068-8.
Texto completoCapítulos de libros sobre el tema "UAVs photogrammetry"
dos Santos, Daniel Theisges, Mauro Roisenberg y Marivaldo dos Santos Nascimento. "Identification of Sedimentary Strata by Segmentation Neural Networks of Oblique Photogrammetry of UAVs". En Intelligent Data Engineering and Automated Learning – IDEAL 2022, 31–41. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21753-1_4.
Texto completoLinck, Roland, Andreas Stele y Tatjana Gericke. "Comparison of GPR results with UAV photogrammetry at a Roman villa rustica in Noricum (southern Bavaria)". En Advances in On- and Offshore Archaeological Prospection, 311–20. Kiel: Universitätsverlag Kiel | Kiel University Publishing, 2023. http://dx.doi.org/10.38072/978-3-928794-83-1/p32.
Texto completoTkac, Matus, Peter Mesaros, Marcel Behun y Tomas Mandicak. "Aerial Photogrammetry and Unmanned Aerial Vehicles (UAVs) Like a Smart Technology for Digital As-Built Mapping of Existing Buildings". En 4th EAI International Conference on Management of Manufacturing Systems, 43–51. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34272-2_4.
Texto completoHuntley, David, Drew Rotheram-Clarke, Roger MacLeod, Robert Cocking, Philip LeSueur, Bill Lakeland y Alec Wilson. "Scalable Platform for UAV Flight Operations, Data Capture, Cloud Processing and Image Rendering of Landslide Hazards and Surface Change Detection for Disaster-Risk Reduction". En Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 49–61. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_4.
Texto completoDíaz-Cabrera, Moises, Jorge Cabrera-Gámez, Ricardo Aguasca-Colomo y Kanstantsin Miatliuk. "Photogrammetric Analysis of Images Acquired by an UAV". En Computer Aided Systems Theory - EUROCAST 2013, 109–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-53862-9_15.
Texto completoCaroti, G., A. Piemonte y Y. Pieracci. "UAV-Borne Photogrammetric Survey as USAR Firefighter Teams Support". En Computational Science and Its Applications – ICCSA 2017, 3–15. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62401-3_1.
Texto completoMarek, Lukáš, Jakub Miřijovský y Pavel Tuček. "Monitoring of the Shallow Landslide Using UAV Photogrammetry and Geodetic Measurements". En Engineering Geology for Society and Territory - Volume 2, 113–16. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09057-3_8.
Texto completoParra, Héctor Guillermo, Victor Daniel Angulo Morales y Elvis Eduardo Gaona Garcia. "Multiphase CFD Simulation of Photogrammetry 3D Model for UAV Crop Spraying". En Advances in Intelligent Systems and Computing, 812–22. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16181-1_76.
Texto completoLian, Zengzeng, Jingcheng Xu y Jiaqi Dong. "Research on 3D building model construction based on UAV oblique photogrammetry". En Civil Engineering and Urban Research, Volume 2, 651–57. London: CRC Press, 2023. http://dx.doi.org/10.1201/9781003372417-92.
Texto completoBarraz, Zoubir, Firdaws Bakkali Lamhamdi, Imane Sebari y Abdelkoudouss Izem. "Cloud Computing of Large UAV Datasets for 3D Photogrammetric Reconstruction". En Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1, 742–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89906-6_49.
Texto completoActas de conferencias sobre el tema "UAVs photogrammetry"
Jensen, Austin M., Daniel Morgan, YangQuan Chen, Shannon Clemens y Thomas Hardy. "Using Multiple Open-Source Low-Cost Unmanned Aerial Vehicles (UAV) for 3D Photogrammetry and Distributed Wind Measurement". En ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87586.
Texto completoAl-Tahir, Raid y Travis Barran. "EARTHWORK VOLUMETRICS WITH UNMANNED AERIAL VEHICLES: A COMPARATIVE STUDY". En International Conference on Emerging Trends in Engineering & Technology (IConETech-2020). Faculty of Engineering, The University of the West Indies, St. Augustine, 2020. http://dx.doi.org/10.47412/klnq8966.
Texto completoShults, Roman, Petro Krelshtein, Iulia Kravchenko, Olga Rogoza y Oleksandr Kyselov. "Low-cost Photogrammetry for Culture Heritage". En Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.237.
Texto completoZingaretti, P., A. Mancini, E. Frontoni, A. Monteriu` y S. Longhi. "Autonomous Helicopter for Surveillance and Security". En ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35427.
Texto completoMinch, Cameron, Joseph Dvorak, Joshua Jackson y S. Tucker Sheffield. "Creating A Field-wide Forage Canopy Model Using UAVs and Photogrammetry Processing". En 2020 ASABE Annual International Virtual Meeting, July 13-15, 2020. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2020. http://dx.doi.org/10.13031/aim.202000752.
Texto completoEiris Pereira, Ricardo, Shi Zhou y Masoud Gheisari. "Integrating the Use of UAVs and Photogrammetry into a Construction Management Course: Lessons Learned". En 34th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2018. http://dx.doi.org/10.22260/isarc2018/0061.
Texto completoEllinger, Andreas, Raimar Scherer y Christian Woerner. "Autonomous Alignment Monitoring for Large-Scale Conveyor Systems Using UAVs, Photogrammetry, and Machine Learning". En ASCE International Conference on Computing in Civil Engineering 2021. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784483893.019.
Texto completoV, Hariprasad, Yaswanth MS, Sathish V, Yamuna N, Karthick Sreenivasan V y Sivakumar K. "Autonomous Quadcopter for Building Construction Monitoring". En International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-28-0515.
Texto completoKo, Pi, Samuel Antonio Prieto y Borja García de Soto. "ABECIS: an Automated Building Exterior Crack Inspection System using UAVs, Open-Source Deep Learning and Photogrammetry". En 38th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2021. http://dx.doi.org/10.22260/isarc2021/0086.
Texto completoZhou, Ruisong, Christopher Stohr, Jim Best, Arjan Reesink y James R. Damico. "INTEGRATION OF LASER SCANNING, DIGITAL PHOTOGRAMMETRY AND UAVS FOR THE DIGITAL OUTCROP MODELLING OF LAMOTTE FORMATION IN MISSOURI". En 50th Annual GSA North-Central Section Meeting. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016nc-275670.
Texto completoInformes sobre el tema "UAVs photogrammetry"
Bruder, Brittany L., Katherine L. Brodie, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing y Alexander D. Renaud. guiBath y : A Graphical User Interface to Estimate Nearshore Bathymetry from Hovering Unmanned Aerial System Imagery. Engineer Research and Development Center (U.S.), febrero de 2021. http://dx.doi.org/10.21079/11681/39700.
Texto completoSchultz-Fellenz, Emily S., Ryan Coppersmith, Erika Swanson, James Cooley, Michael Richard Grimler y Katherine Elizabeth Norskog. SPE-5 Pre- and Post-Shot UAS Photogrammetry Quick Look. Office of Scientific and Technical Information (OSTI), junio de 2016. http://dx.doi.org/10.2172/1258357.
Texto completoFernandes, R. A., F. Canisius, S. G. Leblanc, M. Maloley, S. Oakes, C. Prévost y C. Schmidt. Assessment of UAV-based photogrammetry for snow-depth mapping: data collection and processing. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/300553.
Texto completoFraser, R. H., T C Lantz, M. McFarlane-Winchester, J. van der Sluijs y C. Prévost. Testing the potential of UAV photogrammetry for deriving bare earth models in Arctic shrublands. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/321447.
Texto completoBhatt, Parth, Curtis Edson y Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, septiembre de 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.
Texto completoBodie, Mark, Michael Parker, Alexander Stott y Bruce Elder. Snow-covered obstacles’ effect on vehicle mobility. Engineer Research and Development Center (U.S.), noviembre de 2020. http://dx.doi.org/10.21079/11681/38839.
Texto completoHuntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph y P. Bobrowsky. Current research on slow-moving landslides in the Thompson River valley, British Columbia (IMOU 5170 annual report). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331175.
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