4. Image Analysis

Supervised Classification — Quiz

Test your understanding of supervised classification with 5 practice questions.

Practice Questions

Question 1

Which of the following supervised classification algorithms is based on Bayes' theorem and assumes that the input features are independent?

Question 2

In supervised classification, what is the primary purpose of spectral separability analysis between different land cover classes?

Question 3

Consider a supervised classification where you are mapping forest types. If your training data for 'coniferous forest' is collected exclusively from dense, mature stands, but the image also contains young, sparse coniferous areas, what type of error is most likely to occur in the classification of the young, sparse areas?

Question 4

Which of the following is a common method for evaluating the accuracy of a supervised classification, comparing the classified map to ground truth data?

Question 5

In supervised classification, if a pixel has spectral values $(B_1, B_2) = (70, 90)$ and two classes have mean spectral values: Class P $(B_1, B_2) = (65, 85)$ and Class Q $(B_1, B_2) = (75, 95)$. Using the Euclidean distance, calculate the distance to each class and determine the assigned class.