The correlation coefficient measures the strength and direction of the linear relationship between two bands of remote sensing data. A value close to one indicates a strong positive linear relationship between the bands, which typically results in better classification. In remote sensing, a higher correlation between the bands generally means they are similar in terms of the spectral characteristics they measure, which can help in classification tasks.
Step 1: Analyzing the options.
- Option (A) is correct because a correlation coefficient close to one indicates a high positive correlation, which is beneficial for classification.
- Option (B) is incorrect because a correlation coefficient close to zero means no correlation, which is not useful for classification.
- Option (C) is incorrect because the correlation coefficient cannot be close to ten; it is bounded between -1 and 1.
- Option (D) is incorrect because the correlation coefficient is between -1 and 1, not between 1 and 10.
Thus, the correct answer is (A).