Practice Digital image classification - 5.17.3 | 5. Texture | Surveying and Geomatics
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Digital image classification

5.17.3 - Digital image classification

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Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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