Title :
A Kalman filter with state multiplicative noise for SAR data
Author :
Geling, Gary ; Ionescu, Dan
Author_Institution :
Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
Abstract :
Kalman filtering techniques have shown good results in filtering real SAR images. Following a model suggested by M.R. Azimi-Sadjadi et al. (1991) the present authors proposed an adaptive half-plane Kalman filter for SAR images, see G.W. Geling et al. (1994) . The present authors now propose another adaptive Kalman filter for state multiplicative noise. Noisy and filtered ESR-1 SAR images, collected from Victoria, BC, illustrate their approach
Keywords :
Kalman filters; geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; synthetic aperture radar; Kalman filter; SAR imag; SAR imaging; adaptive half-plane Kalman filter; geophysical measurement technique; land surface; radar remote sensing; state multiplicative noise; synthetic aperture radar; terrain mapping; Adaptive filters; Contracts; Equations; Filtering; Image resolution; Kalman filters; Noise reduction; Radar imaging; Smoothing methods; Speckle;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.521770
