Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
Land use and land cover (LULC) classification maps help understand the state and trends of agricultural production and provide insights for applications in environmental monitoring. One of the major downfalls of the LULC technique is inherently linked to its need for ground truth data to cross-valid...
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
2022-06-01
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シリーズ: | ISPRS International Journal of Geo-Information |
主題: | |
オンライン・アクセス: | https://www.mdpi.com/2220-9964/11/6/333 |