Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture
作者： V.F. Rodriguez-Galiano , M. Chica-Olmo , F. Abarca-Hernandez , P.M. Atkinson , C. Jeganathan
DOI: 10.1016/J.RSE.2011.12.003
关键词:
摘要: … A Random Forest (RF) classifier was applied to spectral as well as mono- and multi-… Highly reliable classification results were obtained when the 16 most important textural features …
core.ac.uk
harvard.edu
elsevier.com
sci-hub.se 参考文章(78)
Mario Chica-Olmo, Francisco Abarca-Hernández, Variogram Derived Image Texture for Classifying Remotely Sensed Images Springer Netherlands. pp. 93- 111 ,(2004) , 10.1007/978-1-4020-2560-0_6
Juan Pedro Ruiz-Castellano, J.P. Rigol-Sánchez, Mario Chica Olmo, Aplicación de la función variograma al análisis de cambios espacio-temporales en imágenes Landsat TM. Revista de teledetección: Revista de la Asociación Española de Teledetección. pp. 41- 46 ,(2004)
Gregory P Asner, Michael Keller, Rodrigo Pereira, Johan C Zweede, Remote sensing of selective logging in Amazonia: Assessing limitations based on detailed field observations, Landsat ETM+, and textural analysis Remote Sensing of Environment. ,vol. 80, pp. 483- 496 ,(2002) , 10.1016/S0034-4257(01)00326-1
Russell Congalton, Kass Green, Assessing the accuracy of remotely sensed data : principles and practices CRC Press. ,(1998) , 10.1201/9781420048568
David J. Mladenoff, George E. Host, Thomas R. Crow, Peter T. Wolter, Improved forest classification in the northern Lake States using multi-temporal Landsat imagery Photogrammetric Engineering and Remote Sensing. ,vol. 61, pp. 1129- 1143 ,(1995)
José Manuel Moreira, El sistema de información geográfica-ambiental de Andalucía. Del SINAMBA a la Red de Información Ambiental de Andalucía GeoFocus. Revista Internacional de Ciencia y Tecnología de la Información Geográfica. pp. 4- 10 ,(2006)
Richard A Olshen, Charles J Stone, Leo Breiman, Jerome H Friedman, Classification and regression trees ,(1983)
Roger M. McCoy, Field Methods in Remote Sensing ,(2004)
Thomas G. Dietterich, An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization Machine Learning. ,vol. 40, pp. 139- 157 ,(2000) , 10.1023/A:1007607513941
Peijun Li, Tao Cheng, Jiancong Guo, Multivariate Image Texture by Multivariate Variogram for Multispectral Image Classification Photogrammetric Engineering and Remote Sensing. ,vol. 75, pp. 147- 157 ,(2009) , 10.14358/PERS.75.2.147