Dynamic Bit-Plane Augmentation Framework for Enhancing Data Quality and Robustness in Remote Sensing
In artificial intelligence (AI)-driven remote sensing, data quality issues critically affect the generalization and reliability of deep learning models. To address this problem, we propose the dynamic attention bit-plane augmentation (DAPW) framework, designed for task-relevant and structure-adaptiv...
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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/11084916/ |
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