Title :
An accuracy assessmentof ML texture tracking algorithm over multitemporal SAR images
Author :
Erten, Esra ; Reigber, Andreas ; Hellwich, Olaf ; Prats, Pau
Author_Institution :
Microwaves & Radar Inst., German Aerosp. Centre (DLR), Oberpfaffenhofen, Germany
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.
Keywords :
image motion analysis; maximum likelihood estimation; radar imaging; synthetic aperture radar; ML texture tracking algorithm; NICC; accuracy assessment; maximum likelihood texture tracking algorithm; multiplicative noise structure; multitemporal SAR images; normalized incoherent cross correlation; Computer vision; Maximum likelihood estimation; Motion estimation; Optical noise; Radar imaging; Radar remote sensing; Radar tracking; Speckle; Synthetic aperture radar; Virtual manufacturing; Cramer-Rao Lower Bound (CRLB); Texture tracking; bivariate gamma distribution; incoherent normalized cross correlation;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5417411
