Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms

Blaschke, 2006, Object based analysis for automated information extraction-a synthesis

Brodley, C.E., Utgoff, P.E., 1992. Multivariate versus univariate decision trees. Technical Report 92-8. University of Massachusetts, Amherst, MA, USA.

Erdas Inc., 1999

FAO, 2005

Foody, 1986, Approaches for the production and evaluation of fuzzy land cover classification from remotely sensed data, International Journal of Remote Sensing, 17, 1317, 10.1080/01431169608948706

Foody, 2002, Status of land cover classification accuracy assessment, Remote Sensing of the Environment, 80, 185, 10.1016/S0034-4257(01)00295-4

Geneletti, 2003, A method for object oriented land cover classification combining landsat TM and aerial photographs, International Journal of Remote Sensing, 24, 1273, 10.1080/01431160210144499

Hay, 2003, A comparison of three image-object methods for the multiscale analysis of the landscape structure, ISPRS Journal of Photogrammetry and Remote Sensing, 57, 327, 10.1016/S0924-2716(02)00162-4

Huang, 2002, An assessment of support Vector Machines for Land cover classification, International Journal of Remote sensing, 23, 725, 10.1080/01431160110040323

Kim, 2003, Automatic land cover analysis for Tenerife by supervised classification using remote sensing data, Remote Sensing of the Environment, 86, 530, 10.1016/S0034-4257(03)00130-5

King, 2002, Land cover mapping principles: a return to interpretation fundamentals, International Journal of Remote Sensing, 23, 3525, 10.1080/01431160110109606

Lawrence, 2004, Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis, Remote Sensing of the Environment, 90, 331, 10.1016/j.rse.2004.01.007

Lillesand, 1999

Lu, 2007, A survey of image classification methods and techniques for improving classification performance, International Journal of Remote Sensing, 26, 823, 10.1080/01431160600746456

Lucieer, 2008, Object-oriented classification of sidescan sonar for mapping benthic marine, International Journal of Remote Sensing, 29, 905, 10.1080/01431160701311309

Mahesh, 2003, An assessment of the effectiveness of the decision tree method for land cover classification, Remote Sensing of the Environment, 86, 554, 10.1016/S0034-4257(03)00132-9

Mather, 2004

Mitra, 2004, Segmentation of multi-spectral remote sensing images using active support vector machines, Pattern Recognition Letters, 25, 1067, 10.1016/j.patrec.2004.03.004

Morawitz, 2005, Using NDVI to assess vegetative land cover in central Puget sound, Environmental Monitoring and Assessment, 114, 85, 10.1007/s10661-006-1679-z

Osuna, 1997

Quinlan, 1993

Richards, 1993

Sabins, 1997

Skole, 1994, Data on global land cover change: acquisition assessment and analysis, 437

Vapnik, 1999, An overview of statistical learning theory, IEEE Transactions of Neural Networks, 10, 988, 10.1109/72.788640

Vapnik, 1971, On the uniform convergence of the relative frequencies of events to their probabilities, Theory of Probability and its Applications, 17, 264, 10.1137/1116025

Verbeke, 2004, Re-using back propagating artificial neural network for land cover classification in tropical savannahs, International Journal of Remote Sensing, 35, 2747, 10.1080/01431160310001652385

Vitousek, 1994, Beyond global warming: ecology and global change, Ecology, 75, 1861, 10.2307/1941591