Multi‐sensor missile‐borne LiDAR point cloud data augmentation based on Monte Carlo distortion simulation
Abstract Large‐scale point cloud datasets form the basis for training various deep learning networks and achieving high‐quality network processing tasks. Due to the diversity and robustness constraints of the data, data augmentation (DA) methods are utilised to expand dataset diversity and scale. Ho...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-02-01
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| Series: | CAAI Transactions on Intelligence Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cit2.12389 |
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