Evolutionary Expert-Supervised Despeckled SRAD Filter Design for Enhancing SAR Images

Author

Gomez, Luis ; Munteanu, Cristian ; Jacobo-Berlles, Julio ; Mejail, Marta

Author_Institution

Dept. of Electron. Eng. & Control, Univ. of Las Palmas de Gran Canaria, Las Palmas, Spain

Volume

8

Issue

4

fYear

2011

fDate

7/1/2011 12:00:00 AM

Firstpage

814

Lastpage

818

Abstract

We present an interactive easy-to-use software package, based on an evolutionary algorithm, to perform adaptive anisotropic diffusion speckle filtering for synthetic aperture radar (SAR) images. As a main difference from other methodologies, there is an integration of a SAR-image human expert who provides a subjective validation to complete the diffusion filter design. We have applied an interactive methodology to a set of SAR images, and we compared the results with those obtained by other speckle reduction filters. The results, through the evaluation of objective global and local quality criteria, show the potential of the proposal.

Keywords

adaptive filters; evolutionary computation; geophysical image processing; software packages; speckle; synthetic aperture radar; SAR-image human expert; adaptive anisotropic diffusion speckle filtering; diffusion filter design; enhanced SAR images; evolutionary algorithm; evolutionary expert-supervised despeckled SRAD filter design; interactive methodology; interactive software package; speckle reduction niters; synthetic aperture radar images; Anisotropic magnetoresistance; Biological cells; Evolutionary computation; PSNR; Pixel; Proposals; Speckle; Adaptive filtering; artificial intelligence; diffusion filter; image processing;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2011.2114323

Filename

5738659