Texture estimation in sar images: The impact of scale and model order

Author

Datcu, Mihai ; Espinoza-Molina, Daniela ; De Miguel, Amaia ; Schwarz, Gottfried

Author_Institution

German Aerosp. Center (DLR), Wessling, Germany

fYear

2010

fDate

25-30 July 2010

Firstpage

2844

Lastpage

2847

Abstract

This paper discusses methods and parameter settings that help to estimate texture in SAR images. In general, this is a difficult task for SAR images that are characterized by speckle noise and which span a wide range of pixel magnitudes. We applied Gauss Markov Random Field (GMRF) models and Enhanced Model Based Despeckling (EMBD) to 1 meter resolution amplitude images of the German TerraSAR-X mission. The results demonstrate that one can find appropriate parameter combinations that allow robust texture estimation even for different types of target areas.

Keywords

Markov processes; image resolution; image texture; radar imaging; radar resolution; random processes; speckle; synthetic aperture radar; GMRF model; Gauss Markov random field; German TerraSAR-X mission; SAR image; enhanced model based despeckling; pixel magnitude; resolution amplitude image; speckle noise; texture estimation; Analytical models; Computational modeling; Data mining; Feature extraction; Pixel; Spatial resolution; Bayesian inference; Gibbs Random Fields; Information extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5653613

Filename

5653613