Parallel algorithm for linear feature detection from airborne LiDAR data

Manohar Mareboyana; Paul Chi

doi:10.1117/12.668782

5 May 2006 Parallel algorithm for linear feature detection from airborne LiDAR data

Manohar Mareboyana, Paul Chi

Proceedings Volume 6209, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III; 62090I (2006) https://doi.org/10.1117/12.668782
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Linear features from airport images correspond to runways, taxiways and roads. Detecting runways helps pilots to focus on runway incursions in poor visibility conditions. In this work, we attempt to detect linear features from LiDAR swath in near real time using parallel implementation on G5-based apple cluster called Xseed. Data from LiDAR swath is converted into a uniform grid with nearest neighbor interpolation. The edges and gradient directions are computed using standard edge detection algorithms such as Canny's detector. Edge linking and detecting straight-line features are described. Preliminary results on Reno, Nevada airport data are included.

Citation Download Citation

Manohar Mareboyana and Paul Chi "Parallel algorithm for linear feature detection from airborne LiDAR data", Proc. SPIE 6209, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III, 62090I (5 May 2006); https://doi.org/10.1117/12.668782

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