CTMU-Net: An Improved U-Net for Semantic Segmentation of Remote-Sensing Images Based on the Combined Attention Mechanism
With the development of remote-sensing technology, it is important to use semantic segmentation methods to obtain detailed information in remote-sensing images. However, the objects in the images reveal significant intraclass differences and slight interclass differences, thus affecting the acquisit...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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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/10292866/ |