Development of a multispectral imagery device devoted to weed detection

Multispectral imagery is a large domain with a number of practical applications: thermography and quality control in industry, food science, and agronomy. The main interest is to obtain spectral information of the objects for which a reflectance signal can be associated to physical, chemical, and/or...

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Bibliographic Details
Published in:Journal of electronic imaging 2004-07, Vol.13 (3), p.547-552
Main Authors: Vioix, Jean-Baptiste, Douzals, Jean-Paul, Truchetet, Fre´de´ric
Format: Article
Language:English
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Summary:Multispectral imagery is a large domain with a number of practical applications: thermography and quality control in industry, food science, and agronomy. The main interest is to obtain spectral information of the objects for which a reflectance signal can be associated to physical, chemical, and/or biological properties. Agronomic applications of multispectral imagery generally involve the acquisition of several images in visible and near infrared wavelengths. We first present a different kind of multispectral devices used for agronomic applications and then introduce an original multispectral acquisition system based on a single CCD. First results in laboratory are detailed, presenting a detection method using a neural network and in-field acquisitions and their results are shown. To improve the quality of weed detection, the spatial distribution of crops is used by a second method. Finally, the first works on merging are outlined. ©
ISSN:1017-9909
1560-229X
DOI:10.1117/1.1760756