Practice Noise Reduction (3.2.4) - Satellite Image Processing

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9 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is image noise?
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Think about what makes an image unclear.
Question 2.
Name one technique used for noise reduction.
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Which filter would smooth an image?
3Question 3.
What is a common effect of noise in satellite images?
- Enhanced clarity
- Obscured features
- Improved texture
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Think about how you would describe a noisy image.
4Question 4.
True or False: Gaussian filters can effectively remove salt-and-pepper noise.
- True
- False
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Which filter do you think is designed for that kind of noise?
Question 5.
A new satellite image shows excessive noise that affects urban landscape analysis. Propose a strategy using at least two different filtering techniques.
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Consider how each filter impacts edges and overall quality.
Question 6.
You are tasked with comparing the impact of using Median and Gaussian filters on detecting minor urban features in a satellite image. Provide a detailed analysis.
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Think about how different filters react to varying types of noise.

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