Paper
25 February 1994 Spatial-spectral processing for hyperspectral imagery using neural networks
Joe R. Brown, Edward E. DeRouin
Author Affiliations +
Proceedings Volume 2103, 22nd AIPR Workshop: Interdisciplinary Computer Vision: Applications and Changing Needs; (1994) https://doi.org/10.1117/12.169479
Event: 22nd Applied Imagery Pattern Recognition Workshop, 1993, Washington, DC, United States
Abstract
The combination of hyperspectral imaging systems and neural networks are changing the approach to the challenging problem of automatic target recognition. This paper summarizes a research effort to demonstrate the usefulness of neural networks in processing hyperspectral imagery for target detection and segmentation.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joe R. Brown and Edward E. DeRouin "Spatial-spectral processing for hyperspectral imagery using neural networks", Proc. SPIE 2103, 22nd AIPR Workshop: Interdisciplinary Computer Vision: Applications and Changing Needs, (25 February 1994); https://doi.org/10.1117/12.169479
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KEYWORDS
Neural networks

Image processing

Hyperspectral imaging

Image segmentation

Sensors

Target detection

Automatic target recognition

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