Improving the Accuracy of Land Cover Mapping by Distributing Training Samples
High-quality training samples are essential for accurate land cover classification. Due to the difficulties in collecting a large number of training samples, it is of great significance to collect a high-quality sample dataset with a limited sample size but effective sample distribution. In this pap...
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Main Authors: | Chenxi Li, Zaiying Ma, Liuyue Wang, Weijian Yu, Donglin Tan, Bingbo Gao, Quanlong Feng, Hao Guo, Yuanyuan Zhao |
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Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
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Subjects: | |
Online Access: | https://doaj.org/article/b0bc70df5eb945b388d9c44cf78368d3 |
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