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StyHighNet: Semi-Supervised Learning Height Estimation from a Single Aerial Image via Unified Style Transferring
Recovering height information from a single aerial image is a key problem in the fields of computer vision and remote sensing. At present, supervised learning methods have achieved impressive results, but, due to domain bias, the trained model cannot be directly applied to a new scene. In this paper...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037440/ https://www.ncbi.nlm.nih.gov/pubmed/33804973 http://dx.doi.org/10.3390/s21072272 |