What are the characteristies of a good classification scheme? Does your scheme fit those characteristics?Explain

For lab 8

A word document with answers to

1. A screen shot of your classification in step 2 with appropriate legend.
2. A screen capture of your classification in step 3 with the appropriate legend.

Answer the following questions:

1. What are the characteristies of a good classification scheme? Does your scheme fit those characteristics?

2. Are the classes spectrally different from one another?

3. How does your original supervised classification look? Did the classification do a good job of mapping land cover? Are their obvious areas of confusion? If so, which types are confused?

4. How do the supervised and the unsupervised (from last week, lab 7) classifications compare?

5. How does the Minimum Distance classification compare to the Maximum Likelihood Classification you did? Which (if any) do you think is more accurate?

6. Using the Help menu in Erdas explain the difference between the “minimum distance classification” and “maximum likelihood classification”

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