Improving FOSS photogrammetric workflows for processing large image datasets

Improving FOSS photogrammetric workflows for processing large image datasets

Abstract Background In the last decade Photogrammetry has shown to be a valid alternative to LiDAR techniques for the generation of dense point clouds in many applications. However, dealing with large image sets is computationally demanding. It requires high performance hardware and often long proce...

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Bibliographic Details
Main Authors: Oscar Martinez-Rubi, Francesco Nex, Marc Pierrot-Deseilligny, Ewelina Rupnik
Format: Article
Language:English
Published: SpringerOpen 2017-05-01
Series:Open Geospatial Data, Software and Standards
Subjects:
Photogrammetry
Image orientation
Image matching
Point cloud
Distributed computing
Online Access:http://link.springer.com/article/10.1186/s40965-017-0024-5

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http://link.springer.com/article/10.1186/s40965-017-0024-5

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