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Proceedings Paper

Feasibility study for a catadioptric bi-spectral imaging system
Author(s): C. Gée; L. Berret; C. Chardon; J. Bossu; J.-P. Guillemin; G. Jones; F. Truchetet
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Paper Abstract

In the context of sustainable agriculture, matching accurately herbicides and weeds is an important task. The site specific spraying requires a preliminary diagnostic depending on the plant species identification and localisation. In order to distinguish between weeds species or to discriminate between weeds and soil from their spectral properties, we investigate a spectral approach developing a catadioptric bi-spectral imaging system as a diagnostic tool. The aim of this project consists in the conception and feasibility of a vision system which captures a pair of images with a single camera by the use of two planar mirrors. Then fixing a filter on each mirror, two different spectral channels (e.g. Blue and Green) of the scene can be obtained. The optical modeling is explained to shot the same scene. A calibration based on the inverse pinhole model is required to be able to superpose the scene. The choice of interferential filters is discussed to extract agronomic information from the scene by the use of vegetation index.

Paper Details

Date Published: 26 February 2008
PDF: 9 pages
Proc. SPIE 6813, Image Processing: Machine Vision Applications, 681306 (26 February 2008); doi: 10.1117/12.766471
Show Author Affiliations
C. Gée, ENESAD/DSI/LGAP (France)
L. Berret, ENESAD/DSI/LGAP (France)
C. Chardon, ENESAD/DSI/LGAP (France)
J. Bossu, ENESAD/DSI/LGAP (France)
J.-P. Guillemin, ENESAD/DAE (France)
G. Jones, ENESAD/DSI/LGAP (France)
F. Truchetet, Le2i (France)

Published in SPIE Proceedings Vol. 6813:
Image Processing: Machine Vision Applications
Kurt S. Niel; David Fofi, Editor(s)

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