5.17.3. Digital image classification

Try these first

1. 1.

   What does DN stand for in digital images?

   Hint

   Think about what digital numbers indicate in images.

2. 2.

   Name one advantage of supervised classification.

   Hint

   Consider what training samples provide to the analysis.

3. 3.

   What are the two main types of digital image classification?

   • Supervised and Semi-supervised
   • Supervised and Unsupervised
   • Unsupervised and Expert

   Hint

   Remember the approaches we've covered.

4. 4.

   True or False: In unsupervised classification, prior training data is needed.

   • True
   • False

   Hint

   Think about the differences in methodology.

5. 5.

   Given a set of satellite images of a city, you are tasked with classifying land use. Describe the steps you would take using both supervised and unsupervised methods.

   Hint

   Consider the different approaches and methodologies for each classification type.

6. 6.

   Reflect on an example of when you might choose unsupervised classification over supervised classification.

   Hint

   Think about the circumstances that limit the use of training data.