Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images

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 transp...

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Main Authors: Stefan Wiehle, Susanne Lehner
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2015/450857
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spelling doaj-1fde2517f3404a00ac50843546dd77d02020-11-24T21:33:47ZengHindawi LimitedJournal of Sensors1687-725X1687-72682015-01-01201510.1155/2015/450857450857Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X ImagesStefan Wiehle0Susanne Lehner1DLR Maritime Security Lab, Henrich-Focke-Straße 4, 28199 Bremen, GermanyDLR Maritime Security Lab, Henrich-Focke-Straße 4, 28199 Bremen, GermanyWe 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.http://dx.doi.org/10.1155/2015/450857
collection DOAJ
language English
format Article
sources DOAJ
author Stefan Wiehle
Susanne Lehner
spellingShingle Stefan Wiehle
Susanne Lehner
Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images
Journal of Sensors
author_facet Stefan Wiehle
Susanne Lehner
author_sort Stefan Wiehle
title Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images
title_short Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images
title_full Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images
title_fullStr Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images
title_full_unstemmed Automated Waterline Detection in the Wadden Sea Using High-Resolution TerraSAR-X Images
title_sort automated waterline detection in the wadden sea using high-resolution terrasar-x images
publisher Hindawi Limited
series Journal of Sensors
issn 1687-725X
1687-7268
publishDate 2015-01-01
description 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.
url http://dx.doi.org/10.1155/2015/450857
work_keys_str_mv AT stefanwiehle automatedwaterlinedetectioninthewaddenseausinghighresolutionterrasarximages
AT susannelehner automatedwaterlinedetectioninthewaddenseausinghighresolutionterrasarximages
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