Search

Now showing items 1-10 of 10

Hydrographische Nachrichten 119

Deutsche Hydrographische Gesellschaft e.V. (Hg.) (2021)
HN119.pdf (35.89 MB)

»Die riesigen Flächen unterhalb der Wasseroberfläche bilden das perfekte Szenario für KI-basierte Ansätze«

Reiterer, Alexander; Schiller, Lars; Westfeld, Patrick (2021)
DOI_10.23784_HN119_06.pdf (1.439 MB)

Deep learning-based detection of marine images and the effect of data-driven influences

Lütjens, Mona; Sternberg, Harald (2021)
DOI_10.23784_HN119_02.pdf (1.746 MB)

Automatic boulder identification in side-scan sonar

Haahr Christensen, Jesper (2021)
DOI_10.23784_HN119_03.pdf (2.215 MB)

Comparison of different sub-bottom profiling systems to be used in very shallow and tide-influenced areas

Askar, Cigdem (2021)
DOI_10.23784_HN119_08.pdf (4.140 MB)

Erzeugung von synthetischen Seitensichtsonar-Bildern mittels Generative Adversarial Networks

Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias (2021)
DOI_10.23784_HN119_04.pdf (581.1 KB)

Interactive processing of MBES bathymetry and backscatter data using Jupyter Notebook and Python

Andree, Sophie (2021)
DOI_10.23784_HN119_07.pdf (1.507 MB)

AI is enabling a transformation toward autonomous hydrographic operations

McPherson Kimø, Sarafina (2021)
DOI_10.23784_HN119_05.pdf (5.584 MB)

Meeting requirements for new types of on-demand survey campaigns

Nicola, Andres; Esser, Daniel (2021)
DOI_10.23784_HN119_09.pdf (379.2 KB)

Automatic detection of boulders by neural networks

Feldens, Peter; Westfeld, Patrick; Valerius, Jennifer; Feldens, Agata; Papenmeier, Svenja (2021)
DOI_10.23784_HN119_01.pdf (7.934 MB)

DINI - Zertifikat für Open-Access-Publikationsdienste 2019