A Lightweight Multilevel Feature Fusion approach for Accurate Semantic Segmentation of Remote Sensing Data
Remote sensing has become essential for land cover classification, leveraging deep learning-based segmentation to improve accuracy in environmental monitoring, agriculture, and urban planning. This study introduces Disc Net, a streamlined DeepLabv3+ adaptation optimized for semantic segmentation on...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Institute of Technology and Education Galileo da Amazônia
2026-06-01
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| Серія: | ITEGAM-JETIA |
| Онлайн доступ: | https://itegam-jetia.org/journal/index.php/jetia/article/view/3761 |
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