Adaptive-neighborhood speckle removal in multitemporal synthetic aperture radar images.

We present a new method for multitemporal synthetic aperture radar image filtering using three-dimensional (3D) adaptive neighborhoods. The method takes both spatial and temporal information into account to derive the speckle-free value of a pixel. For each pixel individually, a 3D adaptive neighborhood is determined that contains only pixels belonging to the same distribution as the current pixel. Then statistics computed inside the established neighborhood are used to derive the filter output. It is shown that the method provides good results by drastically reducing speckle over homogeneous areas while retaining edges and thin structures. The performances of the proposed method are compared in terms of subjective and objective measures with those given by several classical speckle-filtering methods.

[1]  Jan P. Allebach,et al.  Combating Speckle In SAR Images: Vector Filtering And Sequential Classification Based On A Multiplicative Noise Model , 1990 .

[2]  J. Goodman.  Some fundamental properties of speckle , 1976 .

[3]  Thuy Le Toan,et al.  Multitemporal ERS SAR analysis applied to forest mapping , 2000, IEEE Trans. Geosci. Remote. Sens..

[4]  Rangaraj M. Rangayyan,et al.  Iterative method for blind deconvolution , 1994, J. Electronic Imaging.

[5]  Alexander A. Sawchuk,et al.  Adaptive restoration of images with speckle , 1987, IEEE Trans. Acoust. Speech Signal Process..

[6]  E. Nezry,et al.  Adaptive speckle filters and scene heterogeneity , 1990 .

[7]  Henri Maitre,et al.  Smoothing speckled synthetic aperture radar images by using maximum homgeneous region filters , 1992 .

[8]  H H Arsenault,et al.  Combined homomorphic and local-statistics processing for restoration of images degraded by signal-dependent noise. , 1984, Applied optics.

[9]  Rangaraj M. Rangayyan,et al.  Filtering multiplicative noise in images using adaptive region-based statistics , 1998, J. Electronic Imaging.

[10]  Guy Flouzat,et al.  Speckle removal on radar imagery based on mathematical morphology , 1989 .

[11]  Jong-Sen Lee,et al.  Speckle reduction in multipolarization, multifrequency SAR imagery , 1991, IEEE Trans. Geosci. Remote. Sens..

[12]  Jong-Sen Lee,et al.  Digital image smoothing and the sigma filter , 1983, Comput. Vis. Graph. Image Process..

[13]  Rangaraj M. Rangayyan,et al.  Adaptive neighborhood mean and median image filtering , 1994, J. Electronic Imaging.

[14]  Rangaraj M. Rangayyan,et al.  Adaptive-neighborhood histogram equalization for image enhancement , 1992, CVGIP Graph. Model. Image Process..

[15]  Jakob J. van Zyl,et al.  Change detection techniques for ERS-1 SAR data , 1993, IEEE Trans. Geosci. Remote. Sens..

[16]  R M Rangayyan,et al.  Feature enhancement of film mammograms using fixed and adaptive neighborhoods. , 1984, Applied optics.

[17]  J. Bruniquel,et al.  Multi-variate optimal speckle reduction in SAR imagery , 1997 .

[18]  R M Rangayyan,et al.  Image restoration by adaptive-neighborhood noise subtraction. , 1994, Applied optics.

[19]  Alexander A. Sawchuk,et al.  Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[20]  Rangaraj M. Rangayyan,et al.  Filtering noise in color images using adaptive-neighborhood statistics , 2000, J. Electronic Imaging.

[21]  Rangaraj M. Rangayyan,et al.  Adaptive-neighborhood histogram equalization of color images , 2001, J. Electronic Imaging.

[22]  William A. Pearlman,et al.  Speckle filtering of SAR images based on adaptive windowing , 1999 .

[23]  Jong-Sen Lee,et al.  Digital Image Enhancement and Noise Filtering by Use of Local Statistics , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  R M Rangayyan,et al.  Adaptive-neighborhood filtering of images corrupted by signal-dependent noise. , 1998, Applied optics.

[25]  Patrick Wambacq,et al.  Speckle filtering of synthetic aperture radar images : a review , 1994 .

[26]  Jong-Sen Lee,et al.  Refined filtering of image noise using local statistics , 1981 .

[27]  Victor S. Frost,et al.  A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[28]  T R Crimmins,et al.  Geometric filter for speckle reduction. , 1985, Applied optics.