To improve the quality of your training samples, you should consider which of the following processes? Choose four. O Modify existing sample polygons. O Change the classifier algorithm. O Change the symbology of training sample polygons. Add training sample polygons. O Replace the polygons with points. O Split training sample polygons into different classes. O Merge training sample polygons with similar spectral values.
To improve the quality of your training samples, you should consider which of the following processes? Choose four. O Modify existing sample polygons. O Change the classifier algorithm. O Change the symbology of training sample polygons. Add training sample polygons. O Replace the polygons with points. O Split training sample polygons into different classes. O Merge training sample polygons with similar spectral values.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Transcribed Image Text:To improve the quality of your training samples, you should consider which of the following processes?
Choose four.
O Modify existing sample polygons.
Change the classifier algorithm.
O Change the symbology of training sample polygons.
Add training sample polygons.
Replace the polygons with points.
Split training sample polygons into different classes.
O Merge training sample polygons with similar spectral values.
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- Merge training sample polygons with similar spectral values.
- Add training sample polygons.
-Modify existing sample polygons.
-Split training sample polygons into different classes.
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