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The development of synthetic thermal image generation tools and training data at FLIR
Author(s): Arthur Stout; Kedar Madineni; Louis Tremblay; Zachary Tane
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Paper Abstract

The importance of training data in the development of highly accurate target classifiers/detectors is critical as the industry transitions from proof of concept to the deployment of intelligent sensors into autonomous driving systems in the commercial transportation market and automatic target recognition into military systems. We describe the development of synthetic thermal image generation software, its application in network training and target classifier performance results.

Paper Details

Date Published: 14 May 2019
PDF: 6 pages
Proc. SPIE 10988, Automatic Target Recognition XXIX, 1098814 (14 May 2019); doi: 10.1117/12.2518655
Show Author Affiliations
Arthur Stout, FLIR Systems, Inc. (United States)
Kedar Madineni, FLIR Systems, Inc. (United States)
Louis Tremblay, FLIR Systems, Inc. (United States)
Zachary Tane, FLIR Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 10988:
Automatic Target Recognition XXIX
Riad I. Hammoud; Timothy L. Overman, Editor(s)

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