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Glacier Velocity Monitoring by Maximum Likelihood Texture Tracking

Erten, Esra and Reigber, Andreas and Prats, Pau and Hellwich, Olaf (2009) Glacier Velocity Monitoring by Maximum Likelihood Texture Tracking. IEEE Transactions on Geoscience and Remote Sensing, 47 (2), pp. 394-405. DOI: 10.1109/TGRS.2008.2009932.

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Official URL: http://ieeexplore.ieee.org.

Abstract

The performance of a tracking algorithm considering remotely sensed data strongly depends on a correct statistical description of the data, i.e. its noise model. The objective of this paper is to introduce a new intensity tracking algorithm for SAR (synthetic aperture radar) data, considering its multiplicative speckle/noise model. The proposed tracking algorithm is discussed regarding the measurement of glacier velocities. Glacier monitoring exhibits complex spatial and temporal dynamics including snowfall, melting and ice flows at a variety of spatial and temporal scales. Due to these complex characteristics, most traditional methods based on SAR suffer from speckle decorrelation that results in a low signal-to-noise ratio (SNR). The proposed tracking technique improves the accuracy of the classical intensity tracking technique by making use of the temporal speckle structure. Even though a new intensity based matching algorithm is proposed especially for incoherent data sets, the analysis of the proposed technique was also performed for correlated data sets. As it is demonstrated, the velocity monitoring can be continuously performed by using the maximum likelihood texture tracking without any assumption concerning the correlation of the dataset. The maximum likelihood texture tracking approach was tested on ENVISAT-ASAR data, acquired during summer 2004 over the Inyltshik glacier in Kyrgyzstan, representing one of the largest alpine glaciers systems of the world. It will be demonstrated that the proposed technique is capable of robustly and precisely detecting the surface velocity field and velocity changes in time.

Document Type:Article
Title:Glacier Velocity Monitoring by Maximum Likelihood Texture Tracking
Authors:
AuthorsInstitution or Email of Authors
Erten, Esraesra.erten@dlr.de
Reigber, Andreasandreas.reigber@dlr.de
Prats, Paupau.prats@dlr.de
Hellwich, Olafhellwich@fpk.tu-berlin.de
Date:2 February 2009
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:47
DOI:10.1109/TGRS.2008.2009932
Page Range:pp. 394-405
Status:Published
Keywords:Estimation theory, synthetic aperture radar (SAR), speckle, glacier-motion estimation, offset tracking, maximum likelihood estimation
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Flugzeug-SAR (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Esra Erten
Deposited On:16 Sep 2009 14:32
Last Modified:12 Dec 2013 20:42

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