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Proceedings Paper

Periscope video ship classification
Author(s): Firooz A. Sadjadi; Jack OSullivan
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Paper Abstract

Automatic classification of surface ships by means of imaging sensors through the submarine's periscope is of interest to the naval underwater warfare center of the US Navy. In this paper we discuss a testbed designed for periscope video ship classification based on model-based automatic target recognition paradigm, will present the performance results for the application of some of the existing algorithms and will present a sequential tree based technique for ship recognition.

Paper Details

Date Published: 24 May 1996
PDF: 7 pages
Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); doi: 10.1117/12.241156
Show Author Affiliations
Firooz A. Sadjadi, Loral Corp. (United States)
Jack OSullivan, Naval Underwater Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 2756:
Automatic Object Recognition VI
Firooz A. Sadjadi, Editor(s)

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