Which of the following is not a potential problem with unsupervised classification?
A) some spectral classes may be meaningless
B) a training area may contain a mix of different thematic classes
C) reference data used for assigning classes by the analyst may contain errors
D) a single thematic class may be split among two spectral classes
Correct Answer:
Verified
Q24: Image classification is a process of
A) categorising
Q25: Image classification is based on
A) tone or
Q26: Which of the following statements is true?
A)
Q27: In supervised classification, training areas are
A) representative
Q28: Training areas must
A) be drawn from a
Q29: The number of pixels used in training
Q30: The parallelepiped classifier defines the class boundaries
Q32: With the classification error matrix below,
Q33: According to the classification error matrix
Q34: According to the classification error matrix
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