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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is accuracy assessment?
💡 Hint: Think about why validating data is important.
Question 2
Easy
Name one type of error that can occur during remote sensing classification.
💡 Hint: Consider the factors that could distort results.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does accuracy assessment measure?
💡 Hint: Consider what it means to validate data.
Question 2
True or False: Producer's accuracy reflects the probability that a pixel classified on the map actually represents that category on the ground.
💡 Hint: Think about the meaning of 'producer' in this context.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Using a dataset of classified satellite images, design a systematic approach to select ground truth samples. Discuss which sampling technique would be most effective and justify your choice.
💡 Hint: Consider how the distribution can affect the overall assessment.
Question 2
Given a confusion matrix, calculate the producer's and user's accuracy for each class, and analyze any discrepancies. What does this tell you about the classifications?
💡 Hint: Look closely at both types of accuracy to understand the strengths and weaknesses in your classifications.
Challenge and get performance evaluation