Training Set Selection to Improve Crop Classification
In some classification problems, acquiring class label information is much more expensive than collecting attribute data. One such problem is crop classification from satellite imagery. While random sampling is one option, we demonstrate that a targeted training set selection can be beneficial, whe...
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| Format: | Others |
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North Dakota State University
2018
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| Online Access: | https://hdl.handle.net/10365/27350 |