2014
DOI: 10.1007/978-3-319-13695-0_39
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Accurate and Cost-Efficient 3D Modelling Using Motorized Hexacopter, Helium Balloons and Photo Modelling: A Case Study

Abstract: Abstract. The destructive nature of archaeological excavations and the spatial character of archaeological finds make 3D models valuable contributions to the documentation of archaeological information. Laser scanning allows highly accurate 3D reconstructions, but involves considerable costs and expert knowledge. Therefore, photo modelling could be considered as a useful alternative. In this paper, we will demonstrate on the one hand the costefficiency and the consequent time-efficiency of the technique and on… Show more

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Cited by 9 publications
(5 citation statements)
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References 8 publications
(7 reference statements)
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“…Relevant experts at home and abroad have also done a lot of work on the research of storage and management technology of remote sensing images [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] , storage and management technology of point cloud data [17][18][19] , and storage and management technology of 3D model data [21][22][23][24][25] . Qin Qiang et al proposed a storage method for massive remote sensing image big data based on MongoDB, a non-relational database, which can store all kinds of remote sensing image data and its attribute information completely and effectively [14] ; Xu Xudong et al built a sharding cluster of MongoDB in a distributed environment, and distributed storage, hash sharding of a large amount of laser point cloud data by range sharding and Zhang et al used database technology for effective management and scheduling of 3D models, and also generated virtual scenes [23] ; Li et al successfully processed unstructured big data for the current mainstream NoSQL databases, and proposed the use of NoSQL databases for the storage and processing of unstructured big data [15] .…”
Section: Current Status Of Researchmentioning
confidence: 99%
“…Relevant experts at home and abroad have also done a lot of work on the research of storage and management technology of remote sensing images [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] , storage and management technology of point cloud data [17][18][19] , and storage and management technology of 3D model data [21][22][23][24][25] . Qin Qiang et al proposed a storage method for massive remote sensing image big data based on MongoDB, a non-relational database, which can store all kinds of remote sensing image data and its attribute information completely and effectively [14] ; Xu Xudong et al built a sharding cluster of MongoDB in a distributed environment, and distributed storage, hash sharding of a large amount of laser point cloud data by range sharding and Zhang et al used database technology for effective management and scheduling of 3D models, and also generated virtual scenes [23] ; Li et al successfully processed unstructured big data for the current mainstream NoSQL databases, and proposed the use of NoSQL databases for the storage and processing of unstructured big data [15] .…”
Section: Current Status Of Researchmentioning
confidence: 99%
“…Despite these considerations, and because of advances in UAV technology, photogrammetric models made using drones have rapidly become essential tools for archaeologists (Jo and Kim 2017; Lonneville et al 2014; Olson and Rouse 2018; Rinaudo et al 2012; Ruiz Sabina et al 2015). When integrated with photogrammetry, UAVs have the potential to quickly produce accurate site maps and architectural plans.…”
Section: Aerial Photogrammetrymentioning
confidence: 99%
“…The advantage is twofold: providing insiders with an instrument to control the complex conservation of the site and spread the knowledge of cultural goods to the common public (Guidi et al, 2008). The destructive nature of archaeological excavations and the spatial character of archaeological findings make 3D models valuable contributions to the documentation of archaeological information (Lonneville et al, 2014). With the increasing performances of aerial platform, the mapping of archaeological site is entrusted with the use of UAVs (Uribe et al, 2015).…”
Section: Related Workmentioning
confidence: 99%