semivariogram calculation optimization for object-oriented image classification

Clicks: 145
ID: 204739
2011
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Ranked #35 of 44 articles by views in phytomedicine : international journal of phytotherapy and phytopharmacology

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Abstract

In this paper we propose and evaluate different mathematical parameters extracted from the experimental semivariogram for land use/land cover classification using high-resolution images and cadastral mapping limits for the definition of the objects of analysis. First, we describe the process of calculating the semivariogram from the gray level values in an image object. In order to optimize the computation time we present two pixel selection techniques that preserve the original shape of the semivariogram.  Several parameters are then extracted from the semivariogram. Finally, we use various statistical techniques to select the most discriminant parameters. Last section shows the results obtained using aerial digital images of an agricultural area on the Mediterranean coast of Spain. The study of the practical application presented in this paper facilitates the understanding of the relationship between the behaviour of the experimental semivariogram and the variability of the intensity values in a digital image. In order to follow the development of this work, the reader should know some basis of classification methods and digital image processing techniques.

Reference Key
balaguer-beser2011modellingsemivariogram Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;A. Balaguer-Beser;T. Hermosilla;J. Recio;L.A. Ruiz
Journal phytomedicine : international journal of phytotherapy and phytopharmacology
Year 2011
DOI
10.4995/msel.2011.3057
URL
http://polipapers.upv.es/index.php/MSEL/article/view/3057
Keywords Keywords not found

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