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Title: Optical beam classification using deep learning: A comparison with rule- and feature-based classification

Authors:
; ; ;
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1389992
Report Number(s):
LLNL-CONF-737645
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Conference
Resource Relation:
Conference: Presented at: SPIE 2017, San Diego, CA, United States, Aug 06 - Aug 10, 2017
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats

Zahangir, A, Awwal, A, Webb, R L, and Taha, T. Optical beam classification using deep learning: A comparison with rule- and feature-based classification. United States: N. p., 2017. Web.
Zahangir, A, Awwal, A, Webb, R L, & Taha, T. Optical beam classification using deep learning: A comparison with rule- and feature-based classification. United States.
Zahangir, A, Awwal, A, Webb, R L, and Taha, T. Thu . "Optical beam classification using deep learning: A comparison with rule- and feature-based classification". United States. https://www.osti.gov/servlets/purl/1389992.
@article{osti_1389992,
title = {Optical beam classification using deep learning: A comparison with rule- and feature-based classification},
author = {Zahangir, A and Awwal, A and Webb, R L and Taha, T},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {8}
}

Conference:
Other availability
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