DocumentCode :
2617321
Title :
Two-dimensional adaptive block Kalman filtering of radar imagery
Author :
Azimi-Sadjadi, Mahmood R. ; Bannour, Sami
Author_Institution :
Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA
fYear :
1990
fDate :
1-3 May 1990
Firstpage :
246
Abstract :
A 2-D adaptive block Kalman filtering scheme is introduced for processing synthetic aperture radar (SAR) imagery. The image process is represented by an autoregressive (AR) model with a nonsymmetric-half-plane (NSHP) region of support arranged in the block diagonal form. 2-D Kalman filtering equations are derived which take into account not only the effects of the multiplicative speckle noise but also the additive receiver thermal noise. This method assumes local stationarity within one block, whereas the image can be assumed to be globally nonstationary. A recursive identification process using the stochastic Newton approach is also presented which can be used online to estimate the filter parameters based upon the information within each new block of data received. An image processing example is provided to examine the effectiveness of the proposed method when used to remove the effects of speckle noise in an SAR image
Keywords :
Kalman filters; adaptive filters; filtering and prediction theory; radar theory; stochastic processes; thermal noise; 2-D Kalman filtering equations; AR model; SAR image; adaptive block Kalman filtering; additive receiver thermal noise; block diagonal form; filter parameters; globally nonstationary; local stationarity; multiplicative speckle noise; nonsymmetric-half-plane; radar imagery; recursive identification process; speckle noise; stochastic Newton approach; synthetic aperture radar; Adaptive filters; Additive noise; Equations; Filtering; Kalman filters; Parameter estimation; Radar imaging; Speckle; Stochastic resonance; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/ISCAS.1990.111998
Filename :
111998
Link To Document :
بازگشت