By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Geling, G. ; Dept. of Electr. Eng., Ottawa Univ., Ont., Canada ; Ionescu, D.

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

Published in:

Electrical and Computer Engineering, 1995. Canadian Conference on  (Volume:2 )

Date of Conference:

5-8 Sep 1995