Frame-based reflectance estimation from ...
Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Title :
Frame-based reflectance estimation from multispectral images for weed identification in varying illumination conditions
Author(s) :
Amziane, Anis [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Losson, Olivier [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Mathon, Benjamin [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Dumenil, Aurelien [Auteur]
Macaire, Ludovic [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Losson, Olivier [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Mathon, Benjamin [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Dumenil, Aurelien [Auteur]
Macaire, Ludovic [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Conference title :
Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA 2020)
Conference organizers(s) :
IEEE
City :
Paris
Country :
France
Start date of the conference :
2020-11-09
Publisher :
IEEE
English keyword(s) :
Multispectral imaging
Reflectance estimation
Illumination
Precision farming
Weed detection
Linescan camera
Reflectance estimation
Illumination
Precision farming
Weed detection
Linescan camera
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Sciences de l'environnement/Ingénierie de l'environnement
Sciences du Vivant [q-bio]/Sciences agricoles/Sciences et techniques de l'agriculture
Sciences de l'environnement/Ingénierie de l'environnement
Sciences du Vivant [q-bio]/Sciences agricoles/Sciences et techniques de l'agriculture
English abstract : [en]
To prevent the growth of weeds in precision farming, multispectral imaging has gained much interest for its ability to provide vegetation images with a high spectral resolution. However, spectral reflectance computation ...
Show more >To prevent the growth of weeds in precision farming, multispectral imaging has gained much interest for its ability to provide vegetation images with a high spectral resolution. However, spectral reflectance computation is an issue when the image is assembled from successive frames acquired under varying illumination conditions. In this study, we present a method to estimate reflectance from images acquired by a linescan camera in such conditions. Because rows in a given channel are associated to different illumination conditions, we process the image row-wise to improve reflectance estimation. Experimental segmentation results show that our method is a good candidate to effectively identify crops from weeds.Show less >
Show more >To prevent the growth of weeds in precision farming, multispectral imaging has gained much interest for its ability to provide vegetation images with a high spectral resolution. However, spectral reflectance computation is an issue when the image is assembled from successive frames acquired under varying illumination conditions. In this study, we present a method to estimate reflectance from images acquired by a linescan camera in such conditions. Because rows in a given channel are associated to different illumination conditions, we process the image row-wise to improve reflectance estimation. Experimental segmentation results show that our method is a good candidate to effectively identify crops from weeds.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
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