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Title: Unobtrusive Multi-Static Serial LiDAR Imager (UMSLI) First Generation Shape-Matching Based Classifier for 2D Contours

Abstract

A multi-static serial LiDAR system prototype was developed under DE-EE0006787 to detect, classify, and record interactions of marine life with marine hydrokinetic generation equipment. This software implements a shape-matching based classifier algorithm for the underwater automated detection of marine life for that system. In addition to applying shape descriptors, the algorithm also adopts information theoretical learning based affine shape registration, improving point correspondences found by shape descriptors as well as the final similarity measure.

Authors:
 [1];  [2];  [1]
  1. University of Florida
  2. Florida Atlantic University
Publication Date:
Research Org.:
Florida Atlantic University, Boca Raton, FL (United States), University of Florida, Gainesville, FL (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Water Power Technologies Office (EE-4WP)
Contributing Org.:
University of Florida and Florida Atlantic University
OSTI Identifier:
1373095
Report Number(s):
UMSLI Shape Match Classifier v1; 005375MLTPL00
DOE Contract Number:  
EE0006787
Resource Type:
Software
Software Revision:
00
Software Package Number:
005375
Software CPU:
MLTPL
Open Source:
Yes
GNU license
Source Code Available:
Yes
Country of Publication:
United States

Citation Formats

Cao, Zheng, Ouyang, Bing, and Principe, Jose. Unobtrusive Multi-Static Serial LiDAR Imager (UMSLI) First Generation Shape-Matching Based Classifier for 2D Contours. Computer software. https://www.osti.gov//servlets/purl/1373095. Vers. 00. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Water Power Technologies Office (EE-4WP). 25 Jul. 2017. Web.
Cao, Zheng, Ouyang, Bing, & Principe, Jose. (2017, July 25). Unobtrusive Multi-Static Serial LiDAR Imager (UMSLI) First Generation Shape-Matching Based Classifier for 2D Contours (Version 00) [Computer software]. https://www.osti.gov//servlets/purl/1373095.
Cao, Zheng, Ouyang, Bing, and Principe, Jose. Unobtrusive Multi-Static Serial LiDAR Imager (UMSLI) First Generation Shape-Matching Based Classifier for 2D Contours. Computer software. Version 00. July 25, 2017. https://www.osti.gov//servlets/purl/1373095.
@misc{osti_1373095,
title = {Unobtrusive Multi-Static Serial LiDAR Imager (UMSLI) First Generation Shape-Matching Based Classifier for 2D Contours, Version 00},
author = {Cao, Zheng and Ouyang, Bing and Principe, Jose},
abstractNote = {A multi-static serial LiDAR system prototype was developed under DE-EE0006787 to detect, classify, and record interactions of marine life with marine hydrokinetic generation equipment. This software implements a shape-matching based classifier algorithm for the underwater automated detection of marine life for that system. In addition to applying shape descriptors, the algorithm also adopts information theoretical learning based affine shape registration, improving point correspondences found by shape descriptors as well as the final similarity measure.},
url = {https://www.osti.gov//servlets/purl/1373095},
doi = {},
year = {Tue Jul 25 00:00:00 EDT 2017},
month = {Tue Jul 25 00:00:00 EDT 2017},
note =
}

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