GES: A New Building Damage Data Augmentation and Detection Method Based on Extremely Imbalanced Data and Unique Spatial Distribution of Satellite Images
The statistics of damaged buildings after natural disasters are crucial for rescue operations, especially for damaged buildings that are extremely challenging for object detection. There are unique spatial distribution problems in the existing damaged building datasets, and different categories of b...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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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/10613404/ |
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