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Proceedings Paper

New crop/weed/soil discrimination uses only one wavelength to reproduce the near-infrared signature
Author(s): Federico Hahn
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Paper Abstract

Plant species discrimination by optical reflectance requires us to analyze reflectance spectral differences between two sampled broad band signatures making use of the discriminative integration index, DII. Crop/weed discrimination analyses of these indexes using a crop threshold introduces the discrimination efficiency of the entire vegetation population consisting of crop and weeds. Best discriminative efficiencies are spectral dependant and results for leek, cabbage, turnip and potato crops having competence with ten different weed species are presented. With the reflectance of an unique wavelength found iteratively, it was possible to reproduce the NIR spectrum of the crop or weed. This reflectance was multiplied by the crop reference spectrum, producing a pattern similar to the real crop signature and for the four crops tested the control wavelength corresponded to the one having the peak reflectance at the red region. This algorithm is the heart of a new model used to distinguish crops from weeds and the results achieved per group are presented.

Paper Details

Date Published: 4 November 1996
PDF: 9 pages
Proc. SPIE 2818, Multispectral Imaging for Terrestrial Applications, (4 November 1996); doi: 10.1117/12.256083
Show Author Affiliations
Federico Hahn, Instituto Tecnologico de la Laguna (Mexico)


Published in SPIE Proceedings Vol. 2818:
Multispectral Imaging for Terrestrial Applications
Brian Huberty; Joan B. Lurie; Jule A. Caylor; Pol Coppin; Pierre C. Robert, Editor(s)

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