Evaluation of Deep Learning Approaches for Classifying Regional Croplands With Satellite Image Time Series in Senegal
With the significant increase in the availability of two- to three-daily Harmonized Landsat and Sentinel-2 imagery (HLS), satellite image time series (SITS) can capture temporal and spatial features for accurate cropland mapping. This study evaluated the performance of four SITS deep learning (DL) c...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2026-01-01
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| Seri Bilgileri: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/11400644/ |
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