@inproceedings{2d779da91a1a444d851ce8e577116a12,
title = "Glacier monitoring: Correlation versus texture tracking",
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 [1, 2]. 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 = "Glacier monitoring, Maximum likelihood, Normalized cross-correlation, Texture tracking",
author = "Deledalle, \{Charles Alban\} and Nicolas, \{Jean Marie\} and Florence Tupin and Lo{\"i}c Denis and Renaud Fallourd and Emmanuel Trouv{\'e}",
year = "2010",
month = jan,
day = "1",
doi = "10.1109/IGARSS.2010.5654212",
language = "English",
isbn = "9781424495658",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "513--516",
booktitle = "2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010",
note = "2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 ; Conference date: 25-07-2010 Through 30-07-2010",
}