UNET NEURAL NETWORK IN AGRICULTURAL LAND COVER CLASSIFICATION USING SENTINEL-2

6 citations as recorded by crossref.

1. Land Cover Classification Model Using Multispectral Satellite Images Based on a Deep Learning Synergistic Semantic Segmentation Network A. Gharahbagh et al. 10.3390/s25071988
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3. AccuClass: A comprehensive tool for accuracy metrics evaluation in machine learning and remote sensing classification P. Kramarczyk & B. Hejmanowska 10.1016/j.softx.2025.102332
4. Large Scale Land Cover Mapping in Ontario, Canada, Using a Deep Learning Framework F. Mohammadimanesh 10.1109/JSTARS.2025.3566611
5. ВИКОРИСТАННЯ СУПУТНИКОВИХ ДАНИХ ДЛЯ ОПТИМІЗАЦІЇ БІЗНЕС–ПРОЦЕСІВ БДЖІЛЬНИЦТВА І. Волохович & В. Заславський 10.36074/grail-of-science.16.02.2024.041
6. Semantic segmentation for simultaneous crop and land cover land use classification using multi-temporal Landsat imagery S. Ebrahimi & S. Kumar 10.1016/j.rsase.2025.101505