Get in Shape: Prevent Oversmoothing of CNN-Based Sentinel-2 Classification With Large Pretrained Segment Anything Model
Land cover (LC) classification remains challenging, even with advanced machine learning (ML) techniques. Pixel-wise convolutional neural networks (CNNs) are currently widely used for image classification. However, CNNs outputs often suffer from blurry boundaries and poorly segmented shapes. Hence, a...
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| Main Authors: | , , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
IEEE
2026-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11370164/ |
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