干涉相位圖的各向異性擴散方程濾波算法
An Anisotropic Diffusion Equation for SAR Speckle Reduction
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摘要: 該文提出了一種基于各向異性擴散偏微分方程抑制干涉合成孔徑雷達(INSAR)相位噪聲的算法。該算法給出了一種新的基于實數(shù)域干涉相位的擴散系數(shù)表達式,利用干涉相位圖的局部統(tǒng)計特征,在干涉復圖像中的均勻區(qū)域各向同性擴散,邊緣區(qū)域各向異性擴散。試驗結(jié)果表明,該算法在抑制干涉相位噪聲的同時保持了條紋邊緣細節(jié)信息,處理后的相位可以順利展開。
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關(guān)鍵詞:
- 干涉合成孔徑雷達;相位;濾波;各向異性
Abstract: In this paper, a new method which is based on anisotropic diffusion equation for INSAR phase noise reduction is proposed. With the local statistics values, the new method provides anisotropic diffusion in the heterogenous area and isotropic diffusion in the homogeneous area. In the experiment, the new method is proved good performance in reducing INSAR phase noise and preserves edges and details at the same time. Furthermore, the filtered INSAR phase can be unwrapped successfully. -
Lee J S, Papathanassiou K P, Ainoworth T L, Crunes M R, Reigber A. A new technique for noise filtering of SAR nterferometric phase images[J].IEEE Trcms. on Geoscience and Remote Sensing.1998, 36(5):1456-1465[2]Bo C, Dellepiane S, Beneventano C. A locally adaptive approach for interferometric phase noise reduction. ICARSS'99, Hamburg,Germany, 1999: 264-268.[3]Goldstein R M, Werner C L. Radar interferogram filtering for geophysical applications[J].Geop句}sical Research Letters.1998, 25(21):4035-4038[4]Carlos Lopez-Martinez, Xavier Fabregas. Modeling and reduction of SAR interferometric phase noise in the wavelet domain[J].IEEL Trans. on Geoscience and Remote Sensing.2002, 40(12):2553-2566[5]Pietro P, Jitendra M. Scale-space and edge detection using anisotropic diffusion[J].IEEE Trans. on Pattern Ana加is and Machinelntelligence.1990, 12(7):629-639[6]Chris O, Shaun Q. Understanding Synthetic Aperture Radar Images. Boston, London, Artech House, 1998: 88-89. -
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