Comparison of vhr panchromatic texture features for tillage mapping
2013
Chehata, Nesrine | Le Bris, Arnaud | Lagacherie, Philippe | Université de Bordeaux (UB) | Institut de recherche pour le développement (IRD [Tunisie]) | Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12) | Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH) ; Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
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Show more [+] Less [-]English. Agricultural practices are major drivers of water flows in cultivated landscapes. Especially, the spatial arrangements and connectivities of tilled/untilled fields have a strong impact onto run off and soil erosion at the landscape and watershed scales. Very high spatial resolution satellite images offer the possibility to classify tilled vs. untilled fields at a large scale. This paper compares the importance of various VHR texture features for tillage mapping. Classical texture features such as coocurrence Haralick descriptors, Gabor and SIFT-based descriptors are studied. The random forest classifier is used to assess feature importance. A 50 cm panchromatic World View-I image is used for experiments. Very good classification accuracies of 83.4 % and 94.5 % are reached.
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