Practice Supervised Classification (5.17.3.A) - Texture - Surveying and Geomatics

Practice: Supervised Classification

Lesson 5.17.3.ATexture

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10 questions

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3 cards from this section. Quick, good the night before a test.
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Quiz
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6 sample questions

Question 1.
What is the primary purpose of supervised classification?
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Think about why we need training samples.
Question 2.
Name the three main stages of supervised classification.
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Remember the acronym T.A.T.
3Question 3.
What is supervised classification primarily used for?
- Extracting features from images
- Categorizing pixels according to known classes
- Creating satellite imagery
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Think about the role of training samples.
4Question 4.
True or False: The Kappa coefficient is a measure of accuracy that considers chance.
- True
- False
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Consider how accuracy can be misleading without this adjustment.
Question 5.
Design an algorithm for identifying land cover types in a satellite image. Describe the steps, from data intake to testing.
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Break down the process into a step-by-step approach, focusing on the use of training data.
Question 6.
Critique a hypothetical supervised classification where training samples were poorly chosen. What effects would this have on the classification accuracy?
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Think about how poor training impacts the learning process.

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