Improving field boundary delineation in ResUNets via adversarial deep learning
Field boundary data is often required to access digital agricultural services and tools that assist with field-level assessment and monitoring. In addition, policy-makers and researchers need field boundaries to accurately assess food security and impacts on climate change. Thus, scalable and effici...
| الحاوية / القاعدة: | International Journal of Applied Earth Observations and Geoinformation |
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| المؤلفون الرئيسيون: | , , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Elsevier
2022-08-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://www.sciencedirect.com/science/article/pii/S1569843222000796 |
