TY - JOUR AU - Martinez-Rubi, Oscar AU - Nex, Francesco AU - Pierrot-Deseilligny, Marc AU - Rupnik, Ewelina PY - 2017 DA - 2017/05/15 TI - Improving FOSS photogrammetric workflows for processing large image datasets JO - Open Geospatial Data, Software and Standards SP - 12 VL - 2 IS - 1 AB - 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 processing times that makes the photogrammetric point cloud generation not suitable for mapping purposes at regional and national scale. These limitations are partially overcome by commercial solutions, thanks to the use of expensive and dedicated hardware. Nonetheless, a Free and Open-Source Software (FOSS) photogrammetric solution able to cope with these limitations is still missing. SN - 2363-7501 UR - https://doi.org/10.1186/s40965-017-0024-5 DO - 10.1186/s40965-017-0024-5 ID - Martinez-Rubi2017 ER -