Hughes G F,On the mean accuracy of statistical pattern recognizers,IEEE Transactions on Information theory,1968(1).
[4]
Foody G M,McCulloch M B,Yates W B,The effect of training set size and composition on artificial neural network classification,International Journal of Remote Sensing,1995(9).
[5]
Foody G M,Mathur A,The use of small training sets containing mixed pixels for accurate hard image classification:Training on mixed spectral responses for classification by a SVM,Remote Sensing of Environment,2006(2).
[6]
Van Niel T G,McVicar T R,Datt B,On the relationship between training sample size and data dimensionality:Monte Carlo aoalysis of broadband multi-temporal classification,Remote Sensing of Environment,2005(4).
Geneletti D,Gorte B G H,A method for object-oriented land cover classification combining Landsat TM data and aerial photographs,International Journal of Remote Sensing,2003(6).
[9]
Foody G M,Arora M K,An evaluation of some factors affecting the accuracy of classification by an artificial neural network,International Journal of Remote Sensing,1997(4).
[10]
Shahshahani B M,Landgrebe D A,The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon,IEEE Transactions on Geoscience and Remote Sensing,1994(5).
[11]
Piper J,The effect of zero feature correlation assumption on maximum likelihood based classification of chromosomes,Signal Processing,1987(1).