Paper
1 March 1990 A Mixture Neural Net For Multispectral Imaging Spectrometer Processing
David Casasent, Timothy Slagle
Author Affiliations +
Proceedings Volume 1198, Sensor Fusion II: Human and Machine Strategies; (1990) https://doi.org/10.1117/12.969986
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
Each spatial region viewed by an imaging spectrometer contains various elements in a mixture. The elements present and the amount of each are to be determined. A neural net solution is considered. Initial optical neural net hardware is described. The first simulations on the component requirements of a neural net are considered. The pseudoinverse solution is shown to not suffice, i.e. a neural net solution is required.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Casasent and Timothy Slagle "A Mixture Neural Net For Multispectral Imaging Spectrometer Processing", Proc. SPIE 1198, Sensor Fusion II: Human and Machine Strategies, (1 March 1990); https://doi.org/10.1117/12.969986
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Neural networks

Neurons

Chemical elements

Sensors

Amplifiers

Analog electronics

Signal to noise ratio

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