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...
| المؤلفون الرئيسيون: | , , , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
MDPI AG
2022-06-01
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| سلاسل: | ISPRS International Journal of Geo-Information |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2220-9964/11/6/333 |