New Approach to Autoextraction and Attribution of Airport Obstructions from LIDAR Data
Abstract
Recent research efforts have proved that airborne Light Detection and Ranging (LIDAR) topographic data for mapping of obstructions offers a significant time and cost improvement compared with traditional field topographic and aerial photogrammetric surveys. Aerial and satellite stereo imageries are other technologies that enhance safety and expedite obstruction surveys. This session will focus on the state-of-the-art LIDAR obstruction survey and related visualization technologies.
Department
Center for Coastal and Ocean Mapping
Publication Date
1-2008
Journal Title
Transportation Research Board (TRB)
Conference Date
Jan 13 - Jan 17, 2008
Publisher Place
Washington DC, USA
Document Type
Conference Proceeding
Recommended Citation
Parrish, Christopher, "New Approach to Autoextraction and Attribution of Airport Obstructions from LIDAR Data" (2008). Transportation Research Board (TRB). 622.
https://scholars.unh.edu/ccom/622