Despeckling and detection of high reflectance regions from SAR images

Author

Bratsolis, Emmanuel ; Sigelle, Marc

Author_Institution

Departement Traitement du Signal et des Images, Ecole Nat. Superieure des Telecommun., Paris, France

Volume

2

fYear

2002

fDate

26-30 Aug. 2002

Firstpage

1407

Abstract

A speckle reduction method for synthetic aperture radar (SAR) images is presented here. This method can be considered as a first step for the extraction of other important information. The second one is the detection of high reflectance regions which yields an important step to continue the segmentation of the total image. We have worked in 3-look simulated and real ERS-1 amplitude images. The iterative filter is based on a membrane model Markov random field (MRF) approximation optimized by a synchronous local iterative method (SLIM). The final form of restoration gives a total sum preserving regularization (TSPR).

Keywords

Markov processes; geophysical signal processing; image restoration; image segmentation; iterative methods; radar detection; radar imaging; remote sensing by radar; spaceborne radar; speckle; synthetic aperture radar; 3-look simulated amplitude images; ERS-1 images; MRF approximation; SAR; SLIM; TSPR; high reflectance regions; iterative filter; membrane model Markov random field approximation; restoration; segmentation; speckle reduction method; synchronous local iterative method; synthetic aperture radar; total sum preserving regularization; Biomembranes; Data mining; Filters; Image segmentation; Iterative methods; Markov random fields; Radar detection; Reflectivity; Speckle; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2002 6th International Conference on

Print_ISBN

0-7803-7488-6

Type

conf

DOI

10.1109/ICOSP.2002.1180056

Filename

1180056