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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does DN stand for in digital images?
💡 Hint: Think about what digital numbers indicate in images.
Question 2
Easy
Name one advantage of supervised classification.
💡 Hint: Consider what training samples provide to the analysis.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
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.
Question 2
True or False: In unsupervised classification, prior training data is needed.
- True
- False
💡 Hint: Think about the differences in methodology.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation