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An accuracy assessment of ML texture tracking algorithm over multi-temporal SAR images

Erten, Esra and Reigber, Andreas and Hellwich, Olaf and Prats, Pau (2009) An accuracy assessment of ML texture tracking algorithm over multi-temporal SAR images. In: Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS). IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2009-07-13 - 2009-07-17, Cape Town, South Africa.

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Abstract

In this paper, the accuracy assessment of the recently proposed Maximum Likelihood (ML) texture tracking algorithm is discussed. Its comparison with the well known texture tracking technique, i.e., Normalized Incoherent Cross Correlation (NICC), has also been investigated in the case of the presence of multiplicative noise structure

Document Type:Conference or Workshop Item (Paper, Poster)
Title:An accuracy assessment of ML texture tracking algorithm over multi-temporal SAR images
Authors:
AuthorsInstitution or Email of Authors
Erten, EsraUNSPECIFIED
Reigber, AndreasUNSPECIFIED
Hellwich, OlafTU Berlin
Prats, PauUNSPECIFIED
Date:12 July 2009
Journal or Publication Title:Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:No
In ISI Web of Science:No
Status:Published
Keywords:Texture tracking, bivariate gamma distribution, incoherent normalized cross correlation, Cramer-Rao Lower Bound (CRLB)
Event Title:IEEE Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Cape Town, South Africa
Event Type:international Conference
Event Dates:2009-07-13 - 2009-07-17
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:23 Dec 2009 17:59
Last Modified:12 Dec 2013 20:49

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