Paper Info
Title
An Adaptive Density-Based Model for Extracting Surface Returns From Photon-Counting Laser Altimeter Data
Abstract
The Ice, Cloud and land Elevation Satellite-2 (ICESat-2) mission of the National Aeronautics and Space Administration is scheduled to launch in 2017. This upcoming mission aims to provide data to determine the temporal and spatial changes of ice sheet elevation, sea ice freeboard, and vegetation canopy height. A photon-counting lidar onboard ICESat-2 yields point clouds resulting from surface returns and noise. In support of the ICESat-2 mission, this letter derives an adaptive density-based model that is capable of detecting the ground surface and vegetation canopy in photon-counting laser altimeter data. Based on results from point clouds generated by a first principle simulation and those observed by the Multiple Altimeter Beam Experimental Lidar, the ground and canopy returns can be reliably extracted using the proposed approach. Further study on performance assessment shows that smoother surfaces will result in improved accuracy of ground height estimation. In addition, the proposed detection approach has better performance in environments with lower noise, although the performance evaluation metric F-measure does not vary significantly over a range of noise rates (0.5-5 MHz). This proposed approach is generally applicable for surface and canopy finding from photon-counting laser altimeter data.
Year
DOI
Venue
2015
10.1109/LGRS.2014.2360367
IEEE Geosci. Remote Sensing Lett.
Keywords
Field
DocType
surface finding,measurement by laser beam,terrain mapping,sea ice,sea ice freeboard,photon counting lidar onboard icesat-2,multiple altimeter beam experimental lidar,height measurement,ice,adaptive density-based model,f-measure,cloud and land elevation satellite-2 (icesat-2),vegetation canopy height estimation,altimeters,point clouds,ground surface detection,photon counting laser altimeter data,icesat-2 mission,artificial satellites,clouds,density-based spatial clustering of applications with noise (dbscan),lidar,national aeronautics and space administration,performance evaluation metric,ice cloud and land elevation satellite-2,vegetation mapping,ice sheet elevation,ground height estimation,canopy returns extraction,surface return extraction,photonics,laser radar,f measure
Photon counting,Meteorology,Altimeter,Sea ice,Remote sensing,Ice sheet,Freeboard,Lidar,Elevation,Point cloud,Mathematics
Journal
Volume
Issue
ISSN
12
4
1545-598X
Citations 
PageRank 
References 
6
0.93
10
Authors
2
Name
Order
Citations
PageRank
Jiashu Zhang1112275.03
John P. Kerekes219435.38