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Cyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II
A typical approach to exploring Light Detection and Ranging (LIDAR) datasets is to extract features using pre-defined segmentation algorithms. However, this approach only provides a limited set of features that users can investigate. To expand and represent the rich information inside the LIDAR data, we introduce a linked feature space concept that allows users to make regular, conjunctive, and disjunctive discoveries in non-uniform LIDAR data by interacting with multidimensional transferdoi:10.1117/12.850579 fatcat:gv5if7zgs5eexosdi3skni6564