Actualización del SIG citrícola de la Comunidad Valenciana mediante métodos automáticos su- pervisados

May 28, 2017 | Autor: Javier Calpe | Categoría: Support Vector Machines, Neural Network, Crop management, Feature Extraction, Decision Tree, Support vector machine, Multi-layer Perceptron, Automatic Classification, Geographic Information System, Classification Accuracy, Support vector machine, Multi-layer Perceptron, Automatic Classification, Geographic Information System, Classification Accuracy

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Updating Geographic Information Systems (GIS) databases is a requirement for public administra- tions in order to develop crop restructuring policies, funding systems, or crop management. The main difficulties to update the GIS are the eco- nomic and time cost involved, since the update has traditionally relied on human-based photointerpre- tation and visiting crop fields. This paper presents the strategy that

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Actualización del SIG citrícola de la Comunidad Valenciana mediante métodos automáticos su- pervisados

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