Paper
24 May 1996 Periscope video ship classification
Firooz A. Sadjadi, Jack OSullivan
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Firooz A. Sadjadi and Jack OSullivan "Periscope video ship classification", Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); https://doi.org/10.1117/12.241156
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Detection and tracking algorithms

Video

Submerged target modeling

Coastal modeling

Performance modeling

Classification systems

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