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Proceedings Paper

Scene classification and segmentation using multispectral sensor fusion implemented with neural networks
Author(s): Laurence E. Lazofson; Thomas J. Kuzma
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Paper Abstract

Near-simultaneous, multispectral, coregistered imagery of ground target and background signatures were collected over a full diurnal cycle in the MWIR, LWIR, near-infrared, blue, green, and red wavebands using Battelle's portable sensor suite. The imagery data were processed with classical statistical algorithms and artificial neural networks to discriminate target signatures from background clutter and investigate automatic target detection and recognition schemes.

Paper Details

Date Published: 2 September 1993
PDF: 8 pages
Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); doi: 10.1117/12.152527
Show Author Affiliations
Laurence E. Lazofson, Battelle Memorial Institute/Columbus Div. (United States)
Thomas J. Kuzma, Battelle Memorial Institute/Columbus Div. (United States)


Published in SPIE Proceedings Vol. 1965:
Applications of Artificial Neural Networks IV
Steven K. Rogers, Editor(s)

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