To improve the quality of your training samples, you should consider which of the following processes? Choose four. Modify existing sample polygons. Change the classifier algorithm. Change the symbology of training sample polygons. Add training sample polygons. Replace the polygons with points. Split training sample polygons into different classes. 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
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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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.
Merge training sample polygons with similar spectral values.
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. Merge training sample polygons with similar spectral values.
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