Further results on Kalman filters for speckle noise reduction on SAR images

Author

Geling, Gary ; Ionescu, Dan

Author_Institution

Dept. of Electr. Eng., Ottawa Univ., Ont., Canada

Volume

2

fYear

1995

fDate

5-8 Sep 1995

Firstpage

1152

Abstract

The modified adaptive block Kalman filter (MABKF) developed by Geling and Ionescu [1994] was designed to reduce the level of speckle in complex SAR images including urban regions where normal speckle assumptions are no longer true. In order to improve the performance of the filter two modifications have been developed. The MABKF filter methodology has been combined with a dynamic model using a symmetric full-plane region of support. Additionally, a multiplicative noise term has been added to the dynamic equation to model the highly variable nature of a complex urban scene containing many strong reflectors. The filters are demonstrated on an ERS-1 SAR image of Victoria, B.C

Keywords

adaptive Kalman filters; interference suppression; radar imaging; remote sensing by radar; speckle; synthetic aperture radar; British Columbia; Canada; ERS-1 SAR image; Kalman filters; SAR images; Victoria; dynamic equation; dynamic model; modified adaptive block Kalman filter; multiplicative noise term; speckle noise reduction; symmetric full-plane region; urban regions; Adaptive filters; Contracts; Equations; Image processing; Layout; Noise reduction; Remote monitoring; Speckle; Synthetic aperture radar; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1995. Canadian Conference on

Conference_Location

Montreal, Que.

ISSN

0840-7789

Print_ISBN

0-7803-2766-7

Type

conf

DOI

10.1109/CCECE.1995.526634

Filename

526634