Terrain classification of LADAR data over Haitian urban environments using a lower envelope follower and adaptive gradient operator
Name
Neuen-2010-Terrain classification of LADAR data over Haitian urban environments using a lower envelope follower and adaptive gradient operator.pdf
Size
1.88 MB
Format
Adobe PDF
Checksum (MD5)
c5c63318c67c6c8b7d61b51246a401e7
Author(s)
Neuenschwander, Amy L.
Magruder, Lori A.
Crawford, Melba M.
Weed, Christopher A.
Fried, Dale G.
Knowlton, Robert C.
Heinrichs, Richard M.
Cannata, Richard
Date Issued
April 2010
Journal
Proceedings of SPIE--the International Society for Optical Engineering
Publisher
SPIE
Citation
Amy L. Neuenschwander, Melba M. Crawford, Lori A. Magruder, Christopher A. Weed, Richard Cannata, Dale Fried, Robert Knowlton and Richard Heinrichs, "Terrain classification of ladar data over Haitian urban environments using a lower envelope follower and adaptive gradient operator", Proc. SPIE 7684, 768408 (2010); doi:10.1117/12.866033
Version
Final published version
Abstract
In response to the 2010 Haiti earthquake, the ALIRT ladar system was tasked with collecting surveys to support disaster relief efforts. Standard methodologies to classify the ladar data as ground, vegetation, or man-made features failed to produce an accurate representation of the underlying terrain surface. The majority of these methods rely primarily on gradient- based operations that often perform well for areas with low topographic relief, but often fail in areas of high topographic relief or dense urban environments. An alternative approach based on a adaptive lower envelope follower (ALEF) with an adaptive gradient operation for accommodating local slope and roughness was investigated for recovering the ground surface from the ladar data. This technique was successful for classifying terrain in the urban and rural areas of Haiti over which the ALIRT data had been acquired.
MIT Department
Lincoln Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1117/12.866033
