DINCP: Dual Interaction Network for Digital Bathymetric Model Superresolution via Codebook Priors
Digital bathymetric models (DBMs) are essential for marine exploration but often suffer from insufficient resolution due to the high costs of bathymetry measurements. Recently, deep learning-based superresolution (SR) methods have been widely applied to reconstruct high-resolution (HR) DBMs. However...
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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/11104799/ |
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