FERA-Net: A Novel Algorithm for Mars Water-Ice Cloud Segmentation Integrating Feature Enhancement, Residual, and Attention Mechanisms
This study proposes the Feature-Enhanced Residual Attention U-Net (FERA-Net) model, which is trained using cloud mask label data generated by the semiautomatic CM7 method. The aim is to enhance the automation of water-ice cloud segmentation tasks and improve the segmentation accuracy based on existi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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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/10820951/ |
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