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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5654212