- -

Semivariogram calculation optimization for object-oriented image classification

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Semivariogram calculation optimization for object-oriented image classification

Show full item record

Balaguer-Beser, A.; Hermosilla, T.; Recio, J.; Ruiz, L. (2011). Semivariogram calculation optimization for object-oriented image classification. Modelling in Science Education and Learning. 4:91-104. doi:10.4995/msel.2011.3057

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/100890

Files in this item

Item Metadata

Title: Semivariogram calculation optimization for object-oriented image classification
Author: Balaguer-Beser, A. Hermosilla, T. Recio, J. Ruiz, L.A.
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Issued date:
Abstract:
[EN] 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 ...[+]


[ES] En este trabajo se proponen y evalúan diferentes parámetros matemáticos extraídos del semivariograma experimental para la clasificación de los usos del suelo mediante imágenes de alta resolución, usando los límites ...[+]
Subjects: Semivariogram features , Object-oriented classification , Digital image processing
Copyrigths: Reconocimiento - No comercial (by-nc)
Source:
Modelling in Science Education and Learning. (eissn: 1988-3145 )
DOI: 10.4995/msel.2011.3057
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.4995/msel.2011.3057
Project ID:
MICINN/CGL2009-14220-C02-01
MICINN/CGL2010-19591/BTE.
Thanks:
The authors appreciate the financial support provided by the Spanish Ministry of Science and Innovation and the FEDER in the framework of the Projects CGL2009-14220-C02-01 and CGL2010-19591/BTE.
Type: Artículo

References

Curran, P. J. (1988). The semivariogram in remote sensing: An introduction. Remote Sensing of Environment, 24(3), 493-507. doi:10.1016/0034-4257(88)90021-1

J.P. Chilés, P. Delfinder, 1999, Geostatistics. Modeling Spatial Uncertainty, John Wiley and Sons, New York.

P. Goovaerts, 1997, Geostatistics for Natural Resources Evaluation. Oxford University Press: New York. [+]
Curran, P. J. (1988). The semivariogram in remote sensing: An introduction. Remote Sensing of Environment, 24(3), 493-507. doi:10.1016/0034-4257(88)90021-1

J.P. Chilés, P. Delfinder, 1999, Geostatistics. Modeling Spatial Uncertainty, John Wiley and Sons, New York.

P. Goovaerts, 1997, Geostatistics for Natural Resources Evaluation. Oxford University Press: New York.

E.H. Isaaks, R.M. Srivastava, 1989, An introduction to applied geostatistics. Oxford. [10] D.K. McIver, M.A. Friedl, 2002, Using prior probabilities in decision tree classification of remotely sensed data. Remote Sensing of Environment 81, 253-261.

M.J. Pyrcz, C.V. Deutsch, 2003, The Whole Story on the Hole Effect. In: Searston, S. (Eds.) Geostatistical Association of Australasia, Newsletter 18.

J.R. Quinlan, 1993, C4.5: Programs For Machine Learning. Morgan Kaufmann, Los Altos.

L.A. Ruiz, J.A. Recio, T. Hermosilla, 2007, Methods for automatic extraction of regularity patterns and its application to object-oriented image classification. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI, Munich, Germany, 117-121.

M. Story, R. G. Congalton, 1986, Accuracy assessment: a user's perspective, Photogram- metric Engineering and Remote Sensing, 52(3), 397-399.

[-]

This item appears in the following Collection(s)

Show full item record