
Proceedings Paper
Critical infrastructure monitoring using UAV imageryFormat | Member Price | Non-Member Price |
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Paper Abstract
The constant technological evolution in Computer Vision enabled the development of new techniques which in conjunction with the use of Unmanned Aerial Vehicles (UAVs) may extract high quality photogrammetric products for several applications. Dense Image Matching (DIM) is a Computer Vision technique that can generate a dense 3D point cloud of an area or object. The use of UAV systems and DIM techniques is not only a flexible and attractive solution to produce accurate and high qualitative photogrammetric results but also is a major contribution to cost effectiveness. In this context, this study aims to highlight the benefits of the use of the UAVs in critical infrastructure monitoring applying DIM. A Multi-View Stereo (MVS) approach using multiple images (RGB digital aerial and oblique images), to fully cover the area of interest, is implemented. The application area is an Olympic venue in Attica, Greece, at an area of 400 acres. The results of our study indicate that the UAV+DIM approach respond very well to the increasingly greater demands for accurate and cost effective applications when provided with, a 3D point cloud and orthomosaic.
Paper Details
Date Published: 12 August 2016
PDF: 7 pages
Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 96880P (12 August 2016); doi: 10.1117/12.2240478
Published in SPIE Proceedings Vol. 9688:
Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016)
Kyriacos Themistocleous; Diofantos G. Hadjimitsis; Silas Michaelides; Giorgos Papadavid, Editor(s)
PDF: 7 pages
Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 96880P (12 August 2016); doi: 10.1117/12.2240478
Show Author Affiliations
Evangelos Maltezos, Geosystems Hellas (Greece)
Michael Skitsas, ADITESS Ltd. (Cyprus)
Elisavet Charalambous, ADITESS Ltd. (Cyprus)
Michael Skitsas, ADITESS Ltd. (Cyprus)
Elisavet Charalambous, ADITESS Ltd. (Cyprus)
Nikolaos Koutras, ADITESS Ltd. (Cyprus)
Dimitris Bliziotis, Geosystems Hellas (Greece)
Kyriacos Themistocleous, Cyprus Univ. of Technology (Cyprus)
Dimitris Bliziotis, Geosystems Hellas (Greece)
Kyriacos Themistocleous, Cyprus Univ. of Technology (Cyprus)
Published in SPIE Proceedings Vol. 9688:
Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016)
Kyriacos Themistocleous; Diofantos G. Hadjimitsis; Silas Michaelides; Giorgos Papadavid, Editor(s)
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