Res50-SimAM-ASPP-Unet: a semantic segmentation model for high-resolution remote sensing images
High-resolution remote sensing images contain intricate details and complex backgrounds, presenting challenges for traditional segmentation methods, which often struggle with accurate classification and contextual understanding. To address these issues, this study introduces the Res50-SimAM-ASPP-Une...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
IEEE
2024
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/43545/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/43545/ http://dx.doi.org/10.1109/ACCESS.2024.3519260 |
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