Olive Trees Detection in Very High Resolution Images

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 obtain...

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Bibliographic Details
Published inInformation Processing and Management of Uncertainty in Knowledge-Based Systems. Applications pp. 21 - 29
Main Authors Moreno-Garcia, Juan, Linares, Luis Jimenez, Rodriguez-Benitez, Luis, Solana-Cipres, Cayetano
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesCommunications in Computer and Information Science
Subjects
Common Agricultural Policy
European Union
High Resolution Image
Olive Tree
Tree Crown
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Summary: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.
ISBN:9783642140570
3642140572
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-642-14058-7_3