Title :
Nonparametric methods for full-waveform ladar images
Author :
Buschelman, Eric A. ; Martin, Richard K.
Author_Institution :
Grad. Sch. of Eng. & Manage., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
Abstract :
In the paper, the feasibility of using nonparametric methods to estimate the statistical distributions of full-waveform “Flash” laser radar (ladar) data is demonstrated. Unlike point cloud data, which consists solely of peak range and peak intensity information, full-waveform data captures the entire reflected ladar pulse, which enables more precise ranging and feature segmentation. A correlation-maximization waveform fitting technique yields unexpected values for certain parameters, due to energy loss from absorbent and non-diffuse reflecting surfaces.
Keywords :
image segmentation; optical radar; radar imaging; statistical distributions; Flash; correlation-maximization waveform fitting technique; feature segmentation; full-waveform ladar images; laser radardata; non-diffuse reflecting surfaces; nonparametric methods; point cloud data; statistical distributions; Arrays; Ash; Cameras; Correlation; Detectors; Laser radar; Measurement by laser beam; Ladar; bootstrap; nonparametrics; waveform;
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4673-0182-4
Electronic_ISBN :
pending
DOI :
10.1109/SSP.2012.6319671
