Translator Disclaimer
Paper
2 September 1993 Scene classification and segmentation using multispectral sensor fusion implemented with neural networks
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Laurence E. Lazofson and Thomas J. Kuzma "Scene classification and segmentation using multispectral sensor fusion implemented with neural networks", Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); https://doi.org/10.1117/12.152527
PROCEEDINGS
8 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Neural network target tracker
Proceedings of SPIE (August 01 1990)
Neural network processor
Proceedings of SPIE (October 21 2004)
Constrained neural network architectures for target recognition
Proceedings of SPIE (September 16 1992)

Back to Top