Clustering and Unsupervised Classification

The successful application of maximum likelihood classification is dependent upon having delineated correctly the spectral classes in the image data of interest. This is necessary since each class is to be modelled by a normal probability distribution, as discussed in Chap

John A. Richards

2012

Scholarcy highlights

  • The successful application of maximum likelihood classification is dependent upon having delineated correctly the spectral classes in the image data of interest. This is necessary since each class is to be modelled by a normal probability distribution, as discussed in Chap
  • 8. If a class happens to be multimodal, and this is not resolved, clearly the modelling cannot be very effective

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