Liu, S., Zhang, M., Kadam, P., & Kuo, C.-C. J. [ca. 2021]. 3 D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods (1 st ed. 2021) [Cd]. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-89180-0
ISO-690 (author-date, English)LIU, Shan, ZHANG, Min, KADAM, Pranav und KUO, C.-C. Jay, 2021. 3 D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods. 1 st ed. 2021. Cham: Springer International Publishing. ISBN 9783030891800.
Modern Language Association 9th editionLiu, S., M. Zhang, P. Kadam, und C.-C. J. Kuo. 3 D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods. 1 st ed. 2021, cd, Springer International Publishing, 2021, https://doi.org/10.1007/978-3-030-89180-0.
Mohr Siebeck - Recht (Deutsch - Österreich)Liu, Shan/Zhang, Min/Kadam, Pranav/Kuo, C.-C. Jay: 3 D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods, 1 st ed. 2021. Aufl. Cham 2021.
Emerald - HarvardLiu, S., Zhang, M., Kadam, P. und Kuo, C.-C.J. (2021), 3 D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods, 1 st ed. 2021., Bd. , Springer International Publishing, Cham, verfügbar unter:https://doi.org/10.1007/978-3-030-89180-0.