VisioDECT: A robust dataset for aerial and scenario based multi-drone detection, identification, and neutralization
- DOI
- 10.1016/j.dib.2026.112448
- Published
- 04
- Container
- Data in Brief
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.dib.2026.112448,
title = {VisioDECT: A robust dataset for aerial and scenario based multi-drone detection, identification, and neutralization},
author = {Simeon Okechukwu Ajakwe and Vivian Ukamaka Ihekoronye and Golam Mohtasin and Rubina Akter and Jae Min Lee and Dong Seong Kim},
year = {2026},
journal = {Data in Brief},
doi = {10.1016/j.dib.2026.112448},
url = {https://doi.org/10.1016/j.dib.2026.112448}
}RIS
TY - JOUR TI - VisioDECT: A robust dataset for aerial and scenario based multi-drone detection, identification, and neutralization AU - Simeon Okechukwu Ajakwe AU - Vivian Ukamaka Ihekoronye AU - Golam Mohtasin AU - Rubina Akter AU - Jae Min Lee AU - Dong Seong Kim PY - 2026 JO - Data in Brief DO - 10.1016/j.dib.2026.112448 UR - https://doi.org/10.1016/j.dib.2026.112448 ER -
APA
Ajakwe, S. O., Ihekoronye, V. U., Mohtasin, G., Akter, R., Lee, J. M., & Kim, D. S. (2026). VisioDECT: A robust dataset for aerial and scenario based multi-drone detection, identification, and neutralization. Data in Brief. https://doi.org/10.1016/j.dib.2026.112448
Source records
- doaj · retrieved 2026-09-27T08:41:15.661Z