Tuhtan, J. A., Thumser, P., & Haas, C. [ca. 2018]. Computer vision applications using multispectral UAS imagery: comparing pixel and object-based methods for automatic classification of river landscapes [Cd]. Jena: Friedrich-Schiller-Universität Jena. https://doi.org/10.22032/dbt.37847
ISO-690 (author-date, English)TUHTAN, Jeffrey A., THUMSER, Philipp und HAAS, Christian, 2018. Computer vision applications using multispectral UAS imagery: comparing pixel and object-based methods for automatic classification of river landscapes. Jena: Friedrich-Schiller-Universität Jena.
Modern Language Association 9th editionTuhtan, J. A., P. Thumser, und C. Haas. Computer vision applications using multispectral UAS imagery: comparing pixel and object-based methods for automatic classification of river landscapes. cd, Friedrich-Schiller-Universität Jena, 2018, https://doi.org/10.22032/dbt.37847.
Mohr Siebeck - Recht (Deutsch - Österreich)Tuhtan, Jeffrey A./Thumser, Philipp/Haas, Christian: Computer vision applications using multispectral UAS imagery: comparing pixel and object-based methods for automatic classification of river landscapes, Jena 2018.
Emerald - HarvardTuhtan, J.A., Thumser, P. und Haas, C. (2018), Computer vision applications using multispectral UAS imagery: comparing pixel and object-based methods for automatic classification of river landscapes, Bd. , Friedrich-Schiller-Universität Jena, Jena, verfügbar unter:https://doi.org/10.22032/dbt.37847.