Getting simultaneous red and near-infrared band data from a single digital camera for plant monitoring applications: theoretical and practical study
Résumé
Multispectral images, including red and near-infrared bands, have proved efficient for vegetation-soil discrimination and agricultural monitoring in remote-sensing applications. However, they remain little used in ground-based and unmanned aerial vehicle (UAV) imagery, due to a limited availability of adequate 2D imaging devices. A methodology is proposed to obtain simultaneously the near-infrared and red bands from a standard single RGB camera, after having removed the near-infrared blocking filter inside. Its ability to provide satisfactory NDVI (normalised difference vegetation index) computation for vegetation and soil has been assessed through spectral simulations. Application in field conditions with Canon 500 D and Canon 350D cameras has then been considered, taking into account signal-noise and demosaicing concerns. The results obtained have proved the practical usability of this approach, opening new technical possibilities for crop monitoring and agricultural robotics.
Mots clés
AGRICULTURE
TRAITEMENT D'IMAGE
ANALYSE SPECTRALE
PROCHE INFRAROUGE
VEGETATION
TELEDETECTION
AGRICULTURAL MONITORING
AGRICULTURAL ROBOTICS
MULTISPECTRAL IMAGES
NEAR-INFRARED BANDS
NORMALISED DIFFERENCE VEGETATION INDEX
PLANT MONITORING
REMOTE SENSING APPLICATIONS
SPECTRAL SIMULATIONS
REMOTE SENSING
UNMANNED AERIAL VEHICLES (UAV)
INFRARED DEVICES
Domaines
Sciences de l'environnementOrigine | Fichiers produits par l'(les) auteur(s) |
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