Essay Format Questions

How are image space and feature space fundamental to image classification?

What is the application of 2D scatterplots?

Explain the five main steps involved in the image classification process. For each step, describe its purpose and critical considerations or decisions that an operator must make.

Discuss the different types of classification algorithms (Box Classifier, Minimum Distance to Mean, Maximum Likelihood) used in image classification. Compare their underlying principles, advantages, and disadvantages, and explain in which scenarios each might be preferred.

Elaborate on the importance of validation in remote sensing image classification. Describe the components of an error matrix and explain how the overall accuracy is measured and interpreted.

Analyse the progression from "Measurement" to "Information" to "Knowledge" in remote sensing. Provide specific examples from the provided texts to illustrate each stage and discuss how the reliability of derived "knowledge" (e.g., a classification result) is evaluated.

Explain the term "Overall Accuracy" in the context of an error matrix.

What is an "unknown class" in image classification? Give an example. How is it handled in Classification Algorithms?