Loading the lesson
Loading the lesson
Search AllRounder.ai
Search the courses, subjects, tracks, games and features, or jump straight to a page.
Search the courses, subjects, tracks, games and features, or jump straight to a page.
2 cards from this section. Quick, good the night before a test.
What does DN stand for in digital images?
Think about what digital numbers indicate in images.
Name one advantage of supervised classification.
Consider what training samples provide to the analysis.
What are the two main types of digital image classification?
Remember the approaches we've covered.
True or False: In unsupervised classification, prior training data is needed.
Think about the differences in methodology.
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.
Consider the different approaches and methodologies for each classification type.
Reflect on an example of when you might choose unsupervised classification over supervised classification.
Think about the circumstances that limit the use of training data.
4 more questions in this section. Enroll free to practise them all.
Enroll free