Adaptive speckle filtering by multiresolution analysis

Author

Belhadj, Ziad ; Ben Jebara, Sofia ; Maatar, Hedi

Volume

2

fYear

1999

fDate

1999

Firstpage

1235

Abstract

Speckle appearing in SAR images as a granular noise must be reduced for best image classification and interpretation. In this paper, two techniques for speckle reduction are presented, they are the adaptive prediction technique and the multiresolution thresholding technique. When taking into account the compromise between speckle reduction and texture preservation, some limitations in term of rate of speckle reduction are observed. In order to improve results, an efficient algorithm combining the two separate techniques is presented

Keywords

adaptive signal processing; geophysical signal processing; geophysical techniques; image classification; image resolution; image texture; radar imaging; remote sensing by radar; speckle; synthetic aperture radar; terrain mapping; SAR image; adaptive prediction technique; adaptive signal processing; adaptive speckle filtering; algorithm; geophysical measurement technique; granular noise; image classification; image resolution; land surface; multiresolution analysis; multiresolution thresholding; radar imaging; radar remote sensing; speckle reduction; synthetic aperture radar; terrain mapping; texture preservation; Adaptive filters; Filtering; Image segmentation; Least squares approximation; Multiresolution analysis; Noise reduction; Pixel; Predictive models; Rendering (computer graphics); Speckle;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.774589

Filename

774589