Krieger, Lukas and Floricioiu, Dana (2017) Automatic calving front delienation on TerraSAR-X and Sentinel-1 SAR imagery. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2017 IEEE International Geoscience and Remote Sensing Symposium, 23.-28. Jul 2017, Fort Worth, Texas, USA.
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Abstract
This paper presents an approach for automatic calving front delineation of marine-terminating outlet glaciers. We utilize a Canny edge detection approach together with a shortest path optimization problem to find calving front locations (CFL) on SAR backscattering images from Sentinel-1 and TerraSARX. The CFLs are detected on Stripmap images acquired over Zachariae Isstroem in Northeast Greenland where difficult conditions for CFL retrieval exist. We compare our results to CFLs that are delineated by hand and find good agreement, independent of the used sensor.
Item URL in elib: | https://elib.dlr.de/114563/ | ||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
Title: | Automatic calving front delienation on TerraSAR-X and Sentinel-1 SAR imagery | ||||||||||||
Authors: |
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Date: | 2017 | ||||||||||||
Journal or Publication Title: | 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||
Refereed publication: | No | ||||||||||||
Open Access: | Yes | ||||||||||||
Gold Open Access: | No | ||||||||||||
In SCOPUS: | No | ||||||||||||
In ISI Web of Science: | No | ||||||||||||
Status: | Published | ||||||||||||
Keywords: | SAR, Calving front, Ice Sheet, Glacier, Greenland | ||||||||||||
Event Title: | 2017 IEEE International Geoscience and Remote Sensing Symposium | ||||||||||||
Event Location: | Fort Worth, Texas, USA | ||||||||||||
Event Type: | international Conference | ||||||||||||
Event Dates: | 23.-28. Jul 2017 | ||||||||||||
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: | Oberpfaffenhofen | ||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > SAR Signal Processing | ||||||||||||
Deposited By: | Krieger, Lukas | ||||||||||||
Deposited On: | 17 Oct 2017 13:16 | ||||||||||||
Last Modified: | 25 Apr 2023 08:45 |
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