Abstract
This paper focuses on the detection of olive trees in Very High Resolution images. The presented methodology makes use of machine learning to solve the problem. More concretely, we use the K-Means clustering algorithm to detect the olive trees. K-Means is frequently used in image segmentation obtaining good results. It is an automatic algorithm that obtains the different clusters in a quick way. In this first approach the tests done show encouraging results detecting all trees in the example images.
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Moreno-Garcia, J., Linares, L.J., Rodriguez-Benitez, L., Solana-Cipres, C. (2010). Olive Trees Detection in Very High Resolution Images. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2010. Communications in Computer and Information Science, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14058-7_3
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DOI: https://doi.org/10.1007/978-3-642-14058-7_3
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