A Knowledge Distillation-Based Ground Feature Classification Network With Multiscale Feature Fusion in Remote-Sensing Images
As a fundamental task in remote-sensing interpretation, semantic segmentation of remote-sensing images intends to allocate a definite class to each pixel in the image. Fast and efficient semantic segmentation of high-resolution remote-sensing images provides help to capture the real surface covering...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IEEE
2024-01-01
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| Edice: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Témata: | |
| On-line přístup: | https://ieeexplore.ieee.org/document/10364967/ |
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