Multi-source information fusion : monitoring sugarcane harvest using multi-temporal images, crop growth modelling, and expert knowledge

El Hajj Mahmoud, Bégué Agnès, Guillaume Serge. 2007. Multi-source information fusion : monitoring sugarcane harvest using multi-temporal images, crop growth modelling, and expert knowledge. In : 4th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi Temps 2007), Louvain, 18-20 July 2007. s.l. : s.n., 6 p. International Workshop on the Analysis of Multitemporal Remote Sensing Images, Louvain, Belgique, 18 Juillet 2007/20 Juillet 2007.

Résumé : 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.

Classification Agris : F01 - Culture des plantes

Auteurs et affiliations

• El Hajj Mahmoud, CIRAD-ES-UMR TETIS (FRA)
• Bégué Agnès, CIRAD-ES-UMR TETIS (FRA)
• Guillaume Serge, CEMAGREF (FRA)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/540482/)

Métriques

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