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CIEM (Cartographic Information Extraction and Management) deals with the automated extraction of geo-referenced data for a large variety of applications like urban and environmental planning, environmental monitoring, emergency assessment, change detection analyses, etc. The extraction of most of this information is nowadays manually performed, taking long time to achieve a final product. The CIEM project aims to speed up this process developing tools and methodologies for the automated and semi-automated extraction of georeferenced information from images or LiDAR point clouds. Both aerial and terrestrial datasets are considered.
- Nex., F., Rupnik, E., Remondino, F., 2013: Building footprints extraction from oblique imagery. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol 2(3/W3), pp.61-66. ISPRS Workshop "Object Extraction for 3D City Models, Road Databases and Traffic Monitoring - Concepts, Algorithms and Evaluation (CMRT13), 12-13 Nov., Antalya, Turkey
- Nex, F., Remondino, F., 2012: Automatic roof outlines reconstruction from photogrammetric DSM. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. I(3), pp. 257-262. XXII ISPRS Congress, Melbourne, Australia