Multi-source information fusion : monitoring sugarcane harvest using multi-temporal images, crop growth modelling, and expert knowledge | Fusion d'Information multi-source : suivi de la coupe de la canne à sucre à l'aide de séries multi-temporelles d'images, d'un modèle de croissance et d'expertise
2007
El Hajj, M. | Bégué, Agnès | Guillaume, S. | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF) | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS) | Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP) ; Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF)
[Departement_IRSTEA]DS [TR1_IRSTEA]METHODO / SYNERGIE [TR2_IRSTEA]TESAD / CASYS
Show more [+] Less [-]English. This paper deals with the automatic detection of sugarcane harvesting using multi-source information fusion. Information extracted from multi-temporal imagery is fused with indicators from crop growth modelling, and are combined with expert knowledge. The introduced decision support system uses the fuzzy sets theory to cope with uncertainty and imprecision. Fuzzy inference is based on Mamdani's method. The output belongs to three possible classes, and it is accompanied by membership values. The system was evaluated on an irregular time series of Spot5 images acquired on Reunion Island with significant acquisition gaps. Daily climatic data were used to run the growth model. Results obtained were satisfactory; an overall accuracy of 93% is obtained.
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