Robust detection of small and dense objects in images from autonomous aerial vehicles
Abstract Aerial images obtained from autonomous aerial vehicles have lots of small and densely distributed objects because of the capture distance. This paper proposes a deep neural network architecture and training/inference techniques for robust detection of objects in the aerial images. Based on...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Wiley
2021-08-01
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| Col·lecció: | Electronics Letters |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1049/ell2.12245 |
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