Nonparametric methods for full-waveform ladar images

Authors

Eric A. Buschelman, Air Force Institute of Technology
Richard K. Martin, Air Force Institute of TechnologyFollow

Document Type

Conference Proceeding

Publication Date

8-5-2012

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. Abstract © IEEE

Comments

Copyright © 2012, IEEE

Co-author E. Buschelman was an AFIT PhD candidate at the time of this conference. (AFIT-DEE-ENG-12-07, December 2012)

DOI

10.1109/SSP.2012.6319671

Source Publication

2012 IEEE Statistical Signal Processing Workshop (SSP)

Recommended Citation

E. A. Buschelman and R. K. Martin, "Nonparametric methods for full-waveform ladar images," 2012 IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, MI, USA, 2012, pp. 241-244, doi: 10.1109/SSP.2012.6319671.