Advancing seafloor mapping with machine learning : a point convolution approach for filling the gaps in multibeam echo sounder data

Category

Published in:

Abstracts of the ICA
Vol. 10.2025 (15.12.2025), art. no. 258, p. 1-1

Volume:

10.2025

Publication date:

15.12.2025

URN:

urn:nbn:de:0307-20260420-000-2

DOI:

10.5194/ica-abs-10-258-2025

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-1, 784,11 kB) : 1 Textdatei (PDF)

Keywords:

Seafloor Mapping; Multibeam echo sounder; machine learning algorithms; filling gaps; neural network; PointConv; Meeresbodenkartierung; Mehrstrahlecholot; Algorithmen des maschinellen Lernens; Lücken füllen; Neuronales Netz^GND

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-10-258-2025

URL:

https://ica-abs.copernicus.org/articles/10/258/2025/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/10/258/2025/ica-abs-10-258-2025.pdf

Hosting institution:

University of New Brunswick (UNB) [CA]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

Sara Shamaei, Ian Church

Bibliographic notes:

Published in: Abstracts of the ICA, Volume 10, 2025 - 32nd International Cartographic Conference (ICC 2025); 17–22 August 2025, Vancouver, Canada; Editors: Mir Abolfazl Mostafavi, Jonathan Li, and Emmanuel Stefanakis | https://ica-abs.copernicus.org/articles/10/index.html