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

Volume

4

fYear

2009

fDate

12-17 July 2009

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.2009.5417411

Filename

5417411