Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images
Joint Authors
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-07
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
We present an algorithm for automatic detection of the land-water-line from TerraSAR-X images acquired over the Wadden Sea.
In this coastal region of the southeastern North Sea, a strip of up to 20 km of seabed falls dry during low tide, revealing mudflats and tidal creeks.
The tidal currents transport sediments and can change the coastal shape with erosion rates of several meters per month.
This rate can be strongly increased by storm surges which also cause flooding of usually dry areas.
Due to the high number of ships traveling through the Wadden Sea to the largest ports of Germany, frequent monitoring of the bathymetry is also an important task for maritime security.
For such an extended area and the required short intervals of a few months, only remote sensing methods can perform this task efficiently.
Automating the waterline detection in weather-independent radar images provides a fast and reliable way to spot changes in the coastal topography.
The presented algorithm first performs smoothing, brightness thresholding, and edge detection.
In the second step, edge drawing and flood filling are iteratively performed to determine optimal thresholds for the edge drawing.
In the last step, small misdetections are removed.
American Psychological Association (APA)
Wiehle, Stefan& Lehner, Susanne. 2015. Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images. Journal of Sensors،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1070124
Modern Language Association (MLA)
Wiehle, Stefan& Lehner, Susanne. Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images. Journal of Sensors No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1070124
American Medical Association (AMA)
Wiehle, Stefan& Lehner, Susanne. Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1070124
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070124