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Proceedings Paper

Neuro-fuzzy logic application for hyperspectral remote sensing
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Paper Abstract

The original approach for the optical information processing for the hyperspectral remote sensing systems is developed on the union basis of the two mathematical tools: fuzzy logic and neural network. The optical information processing includes the complicated calculations and final results can give a large error. It is well known that there are large number of input parameters and some there uncertainty in the case of information processing of hyperspectral remote sensing systems. The using of statistical and determined models give the result having quite a large error of optical information processing and the given calculations take a lot of time to compute. Therefore the neoro-fuzzy logic application can be more expediency for processing of opto-electronic signals.

Paper Details

Date Published: 20 January 2005
PDF: 5 pages
Proc. SPIE 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II, (20 January 2005); doi: 10.1117/12.577955
Show Author Affiliations
Vincent Michael Contarino, Naval Air Systems Command (United States)
Pavlo A. Molchanov, National Technical Univ. of Ukraine (Ukraine)
Yulia Y. Podobna, National Technical Univ. of Ukraine (Ukraine)
Iryna M. Petrosyuk, National Technical Univ. of Ukraine (Ukraine)


Published in SPIE Proceedings Vol. 5655:
Multispectral and Hyperspectral Remote Sensing Instruments and Applications II
Allen M. Larar; Makoto Suzuki; Qingxi Tong, Editor(s)

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