Synthetic Training Data for Semantic Segmentation of the Environment from UAV Perspective
- DOI
- 10.3390/aerospace10070604
- Published
- 2023-06-30
- Container
- Aerospace
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/aerospace10070604,
title = {Synthetic Training Data for Semantic Segmentation of the Environment from UAV Perspective},
author = {Christoph Hinniger and Joachim Rüter},
year = {2023},
journal = {Aerospace},
doi = {10.3390/aerospace10070604},
url = {https://doi.org/10.3390/aerospace10070604}
}RIS
TY - JOUR TI - Synthetic Training Data for Semantic Segmentation of the Environment from UAV Perspective AU - Christoph Hinniger AU - Joachim Rüter PY - 2023 JO - Aerospace DO - 10.3390/aerospace10070604 UR - https://doi.org/10.3390/aerospace10070604 ER -
APA
Hinniger, C., & Rüter, J. (2023). Synthetic Training Data for Semantic Segmentation of the Environment from UAV Perspective. Aerospace. https://doi.org/10.3390/aerospace10070604
Source records
- crossref · retrieved 2026-09-24T18:53:59.719Z