DocumentCode
3377885
Title
Glaciermonitoring: Correlation versus texture tracking
Author
Deledalle, Charles-Alban ; Nicolas, Jean-Marie ; Tupin, Florence ; Denis, Loïc ; Fallourd, Renaud ; Trouvé, Emmanuel
Author_Institution
Inst. Telecom, Telecom ParisTech, Paris, France
fYear
2010
fDate
25-30 July 2010
Firstpage
513
Lastpage
516
Abstract
Synthetic aperture radar (SAR) images provide scattering information which can be used under any weather conditions for glacier monitoring. Our purpose is to estimate a displacement field characterizing at each position the local speeds and orientations of the glacier displacement. Recent proposed methods build a vector field by tracking patches between two SAR images co-registered on static areas and sensed at different times. The tracking is performed either by evaluating the correlations or the similarities from one acquisition to the other. We propose to estimate locally the displacement vectors by using either the maximum correlation or a maximum likelihood estimator. This local estimation is then refined to provide a sub-pixelic result. The efficiency of both methods are compared.
Keywords
correlation methods; geophysical image processing; glaciology; hydrological techniques; image texture; maximum likelihood estimation; remote sensing by radar; synthetic aperture radar; displacement field; glacier monitoring; maximum likelihood estimator; normalized cross-correlation; synthetic aperture radar images; texture tracking; Adaptive optics; Correlation; Maximum likelihood estimation; Monitoring; Noise; Speckle; Glacier monitoring; maximum likelihood; normalized cross-correlation; texture tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5654212
Filename
5654212
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