Sani-Mohammed, A., Yao, W., & Heurich, M. [ca. 2024]. Instance segmentation of standing dead trees in dense forest from aerial imagery using deep learning [Cd]. Freiburg: Universität. https://doi.org/10.1016/j.ophoto.2022.100024
ISO-690 (author-date, English)SANI-MOHAMMED, Abubakar, YAO, Wei und HEURICH, Marco, 2024. Instance segmentation of standing dead trees in dense forest from aerial imagery using deep learning. Freiburg: Universität.
Modern Language Association 9th editionSani-Mohammed, A., W. Yao, und M. Heurich. Instance segmentation of standing dead trees in dense forest from aerial imagery using deep learning. cd, Universität, 2024, https://doi.org/10.1016/j.ophoto.2022.100024.
Mohr Siebeck - Recht (Deutsch - Österreich)Sani-Mohammed, Abubakar/Yao, Wei/Heurich, Marco: Instance segmentation of standing dead trees in dense forest from aerial imagery using deep learning, Freiburg 2024.
Emerald - HarvardSani-Mohammed, A., Yao, W. und Heurich, M. (2024), Instance segmentation of standing dead trees in dense forest from aerial imagery using deep learning, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.1016/j.ophoto.2022.100024.