Automated Sea Ice Mapping Using SAR: Assessing Machine Learning Approaches on Labels Derived from Topography

Kortum, Karl and Singha, Suman (2024) Automated Sea Ice Mapping Using SAR: Assessing Machine Learning Approaches on Labels Derived from Topography. 9th DLR International Conference on Geoinformation Data, Processing and Application (GeoDPA 2024), 2024-04-23 - 2024-04-25, Oldenburg, Germany.

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Official URL: https://geodpa2024.welcome-manager.de/front/index.php

Item URL in elib:

https://elib.dlr.de/203329/

Document Type:

Conference or Workshop Item (Poster)

Title:

Automated Sea Ice Mapping Using SAR: Assessing Machine Learning Approaches on Labels Derived from Topography

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Kortum, Karl	karl.kortum (at) dlr.de / University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany	https://orcid.org/0000-0002-8418-6484	UNSPECIFIED
Singha, Suman	Danish Meteorological Institute (DMI)	https://orcid.org/0000-0002-1880-6868	UNSPECIFIED

Date:

24 April 2024

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Oceanography, SAR, LiDAR, Topography, Deep-Learning, Data Fusion

Event Title:

9th DLR International Conference on Geoinformation Data, Processing and Application (GeoDPA 2024)

Event Location:

Oldenburg, Germany

Event Type:

international Conference

Event Start Date:

23 April 2024

Event End Date:

25 April 2024

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Earth Observation

DLR - Research area:

Raumfahrt

DLR - Program:

R EO - Earth Observation

DLR - Research theme (Project):

R - SAR methods

Location:

Bremen , Oberpfaffenhofen

Institutes and Institutions:

Remote Sensing Technology Institute > SAR Signal Processing

Deposited By:

Kaps, Ruth

Deposited On:

26 Apr 2024 12:04

Last Modified:

01 May 2025 03:00

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