Extraction of structures, and sampling of known and theoretical knowledge, will result in detection being highly influenced by false positive detections. Because, cultural heritage monuments rarely have the ideal shapes we believe the structures to consist of. Hence, it has to be incorporated that many false positives will be investigated.
False positives can be qualitatively discarded by the human operator, but the procedure will then only become a semi-automatic procedure.
All work will be constructed as generic with potential for adapting modules, scripts, and algorithms to other geographic regions and areas of interest. The project is thus not locally confined, but rather globally minded in order for LiDAR data to become a method for maintaining and locating cultural heritage all around the world.
All original scripts, algorithms, and results will be published and/or made publicly available as Open Source and Open Access. Results, conclusions, scripts, and algorithms, will be made adaptable with other Open Source software and platforms, such as, OpenAtlas, GRASS GIS, QGIS, LIVT, etc.