Treffer: Computer vision applications using multispectral UAS imagery: comparing pixel and object-based methods for automatic classification of river landscapes
Titel:
Computer vision applications using multispectral UAS imagery: comparing pixel and object-based methods for automatic classification of river landscapes / Jeffrey A. Tuhtan, Philipp Thumser, Christian Haas
Beteiligt:
Veröffentlicht:
Jena : Friedrich-Schiller-Universität Jena, 2018
Umfang:
Online-Ressource
Publikationstyp:
Sprache:
Englisch
Anmerkungen:
In: ICEI 2018 : 10th International Conference on Ecological Informatics- Translating Ecological Data into Knowledge and Decisions in a Rapidly Changing World
DOI:
10.22032/dbt.37847