Semantic Segmentation of Sentinel-2 Imagery for Mapping Irrigation Center Pivots
Estimating the number and size of irrigation center pivot systems (CPS) from remotely sensed data, using artificial intelligence (AI), is a potential information source for assessing agricultural water use. In this study, we identified two technical challenges in the neural-network-based classificat...
主要な著者: | , , |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
MDPI AG
2020-12-01
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シリーズ: | Remote Sensing |
主題: | |
オンライン・アクセス: | https://www.mdpi.com/2072-4292/12/23/3937 |