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

Software · Tue Jul 25 00:00:00 EDT 2017

OSTI ID:1373095

Cao, Zheng ^[1]; Ouyang, Bing ^[2]; Principe, Jose ^[1]

---

1. University of Florida
2. Florida Atlantic University

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.

• Short Name / Acronym: UMSLI Shape Match Classifier v1; 005375MLTPL00
• Project Type: GNU license
• Version: 00
• Programming Language(s): Medium: X; OS: Ubuntu 14.04 (gcc 4.8 tested)
• Research Organization: Florida Atlantic University, Boca Raton, FL (United States), University of Florida, Gainesville, FL (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
• Contributing Organization: University of Florida and Florida Atlantic University
• DOE Contract Number: EE0006787
• OSTI ID: 1373095
• Country of Origin: United States