Presentation 2000/2/4
A Study of Kalman filtering for noise reduction on SAR images
Masayoshi Tsuchida, Miki Haseyama, Hideo Kitajima,
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Abstract(in English) This paper presents the Kalman filter of Synthetic Aperture Radar(SAR)images for noise reduction. Numerical methods have been proposed to suppress speckle in SAR images. SAR images have not only speckles which have the characteristic of a randam multiplicative noise but also additive noise such as receiver thermal noise. We used the Kalman filter which takes into acount both multiplicative noise and additive noise. The experiment results on the test images proved effectivity of the proposed method for both multiplivative and additive noise reduction. This method were also applied on SAR image.
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Keyword(in English) Kalman filter / speckle / SAR image
Paper # EID99-140, IE99-136
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Committee EID
Conference Date 2000/2/4(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Kalman filtering for noise reduction on SAR images
Sub Title (in English)
Keyword(1) Kalman filter
Keyword(2) speckle
Keyword(3) SAR image
1st Author's Name Masayoshi Tsuchida
1st Author's Affiliation School of Engineering, Hokkaido University()
2nd Author's Name Miki Haseyama
2nd Author's Affiliation School of Engineering, Hokkaido University
3rd Author's Name Hideo Kitajima
3rd Author's Affiliation School of Engineering, Hokkaido University
Date 2000/2/4
Paper # EID99-140, IE99-136
Volume (vol) vol.99
Number (no) 609
Page pp.pp.-
#Pages 6
Date of Issue