A Kalman Filter Using Texture for Noise Reduction in SAR Images
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概要
- 論文の詳細を見る
In this paper, a new method for noise reduction in SAR images is proposed by using a Kalman filtering. It is well-knwon that speckle has multiplicative characteristics, however, the characteristics are not recognized in some areas. Besides, backscatter is nonstationary, since the mean backscatter changes with the type of target. The proposed method segments SAR images to some regions according to their textures and adaptively reduces noise in each region by using a Kalman filtering. Some experimental results on a simulated image and actual SAR images are provided to show the effectiveness of the proposed method.
- 社団法人電子情報通信学会の論文
- 2002-02-01
著者
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HASEYAMA Miki
Graduate School of Information Science and Technology, Hokkaido University
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TSUCHIDA Masayoshi
Graduate school of Engineering, Hokkaido University
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Tsuchida Masayoshi
Graduate School Of Engineering Hokkaido University
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Haseyama Miki
Graduate School Of Information Science And Technology Hokkaido University
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KITAJIMA Hideo
Graduate School of Engineering, Hokkaido University
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Kitajima Hideo
Graduate School Of Engineering Hokkaido University
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Haseyama Miki
Graduate School Of Engineering Hokkaido University
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