Optimal strategies for wide-area small object detection using deep learning: Practices from a global flying aircraft dataset
Deep learning (DL) has made tremendous strides in object detection in remote sensing (RS). Still, due to the limitation of small objects' nature (e.g., size, shape, and texture), their detecting performance is less than half that of medium/large objects in closed-set conditions (all test classe...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843224000025 |