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Proceedings Paper

Novel approach to remote sensing of vegetation
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Paper Abstract

The problem of remote estimation of chlorophyll content in vegetation is considered. A lot of reflectance spectra have been recorded for winter wheat leaves with various chlorophyll content. The plots of the 1-st derivative of reflectance spectral curves have been computed and analyzed in respect interrelation with pigment content. The ratio of two maxima in the plots has been revealed as a correlating characteristic, which was used for chlorophyll estimation. To diminish the level of noise in 1-st derivative plots, producing by measuring system, the computing procedure have been applied by Savitzky and Golay formula using 2-d order polynomial estimation of 9-point convolution. Application of genetic algorithm to search of maximum positions in 1-st derivative plots has been tested with a positive result. Pair and multiple regression as well as neural net approach have been tested for estimation of chlorophyll content.

Paper Details

Date Published: 23 September 2003
PDF: 7 pages
Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, (23 September 2003); doi: 10.1117/12.486023
Show Author Affiliations
Svetlana M. Kochubey, Institute for Plant Physiology and Genetics (Ukraine)
Peter I Bidyuk, Institute for Applied System Analysis (Ukraine)

Published in SPIE Proceedings Vol. 5093:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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