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
fDate :
7/1/2015 12:00:00 AM
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"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7325946