5.17.3.A. Supervised Classification

Try these first

1. 1.

   What is the primary purpose of supervised classification?

   Hint

   Think about why we need training samples.

2. 2.

   Name the three main stages of supervised classification.

   Hint

   Remember the acronym T.A.T.

3. 3.

   What is supervised classification primarily used for?

   • Extracting features from images
   • Categorizing pixels according to known classes
   • Creating satellite imagery

   Hint

   Think about the role of training samples.

4. 4.

   True or False: The Kappa coefficient is a measure of accuracy that considers chance.

   • True
   • False

   Hint

   Consider how accuracy can be misleading without this adjustment.

5. 5.

   Design an algorithm for identifying land cover types in a satellite image. Describe the steps, from data intake to testing.

   Hint

   Break down the process into a step-by-step approach, focusing on the use of training data.

6. 6.

   Critique a hypothetical supervised classification where training samples were poorly chosen. What effects would this have on the classification accuracy?

   Hint

   Think about how poor training impacts the learning process.