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

fYear

2012

fDate

5-8 Aug. 2012

Firstpage

241

Lastpage

244

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing Workshop (SSP), 2012 IEEE

Conference_Location

Ann Arbor, MI

ISSN

pending

Print_ISBN

978-1-4673-0182-4

Electronic_ISBN

pending

Type

conf

DOI

10.1109/SSP.2012.6319671

Filename

6319671