Abstract

A new approach of Simulated Tempering Markov Chain Monte Carlo (STMCMC) for full waveform LIDAR signal analysis was proposed and demonstrated. We present the theory, algorithm as well as the practical examples.

© 2014 Optical Society of America

PDF Article
This paper was not presented at the conference

More Like This
Simulated Tempering Markov Chain Monte Carlo for Full Waveform Analysis

Weiji He, Wenye Yin, Feng Shi, Guohua Gu, and Qian Chen
JW2A.100 CLEO: Applications and Technology (CLEO_AT) 2015

Towards Bayesian Reconstruction and Analysis in Bioluminescence Tomography via Markov Chain Monte Carlo Techniques

H.R.A. Basevi, J.A. Guggenheim, S.L. Taylor, H. Dehghani, and I.B. Styles
BM3A.45 Biomedical Optics (BIOMED) 2014

Using the topological derivative for initializing a Markov-chain Monte Carlo reconstruction in fluorescence tomography

Manuel Freiberger, Antoine Laurain, Michael Hintermüller, Alice Köstinger, and Hermann Scharfetter
80881Q European Conference on Biomedical Optics (ECBO) 2011

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription