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Proceedings Paper

Target detection in FLIR image sequence using neural network
Author(s): Roger A. Samy
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Paper Abstract

A target detection scheme based on FLIR image sequence segmentation is described. This includes an estimation of velocity field and a segmentation of FLIR images using a Hopfield like neural network. Experimental results using real world IR image sequence taken by airborne FLIR are presented.

Paper Details

Date Published: 16 December 1992
PDF: 8 pages
Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); doi: 10.1117/12.130868
Show Author Affiliations
Roger A. Samy, Societe Anonyme de Telecommunications (France)


Published in SPIE Proceedings Vol. 1766:
Neural and Stochastic Methods in Image and Signal Processing
Su-Shing Chen, Editor(s)

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