DocumentCode :
3690127
Title :
Automatic coastline detection in non-locally filtered tandem-X data
Author :
Michael Schmitt;Lingyun Wei;Xiao Xiang Zhu
Author_Institution :
Helmholtz Young Investigators Group SiPEO, Technische Universitaet Muenchen (TUM), Arcisstr. 21, 80333 Munich, Germany
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1036
Lastpage :
1039
Abstract :
The detection of coastlines in SAR imagery has been studied for more than two decades now. Whereas the first works were based on the exploitation of amplitude imagery and the corresponding need to deal with speckle noise [1, 2, 3], with the ERS-1/2 tandem configuration also coherence maps started to be used as input. Based on the insights gained on these experiments, later the authors began to exploit both amplitude and coherence imagery simultaneously, finally giving way to the first approach using the original complex SAR data for statistically motivated coastline extraction.
Keywords :
"Synthetic aperture radar","Active contours","Lakes","Coherence","Data mining","Algorithm design and analysis","Adaptive optics"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7325946
Filename :
7325946
Link To Document :
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