STATISTICAL ANALYSIS OF MULTI-LOOK POLARIMETRIC SAR IMAGERY

Liu Guoqing; Huang Shunji; Xiong Hong; A. Torre; F. Rubertone

Volume 20 Issue 1

Jan. 1998

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Article Navigation > Journal of Electronics & Information Technology > 1998 > 20(1): 62-67

Liu Guoqing, Huang Shunji, Xiong Hong, A. Torre, F. Rubertone. STATISTICAL ANALYSIS OF MULTI-LOOK POLARIMETRIC SAR IMAGERY[J]. Journal of Electronics & Information Technology, 1998, 20(1): 62-67.

Citation:

Liu Guoqing, Huang Shunji, Xiong Hong, A. Torre, F. Rubertone. STATISTICAL ANALYSIS OF MULTI-LOOK POLARIMETRIC SAR IMAGERY[J]. Journal of Electronics & Information Technology, 1998, 20(1): 62-67.

Liu Guoqing, Huang Shunji, Xiong Hong, A. Torre, F. Rubertone. STATISTICAL ANALYSIS OF MULTI-LOOK POLARIMETRIC SAR IMAGERY[J]. Journal of Electronics & Information Technology, 1998, 20(1): 62-67.

Citation:

Liu Guoqing, Huang Shunji, Xiong Hong, A. Torre, F. Rubertone. STATISTICAL ANALYSIS OF MULTI-LOOK POLARIMETRIC SAR IMAGERY[J]. Journal of Electronics & Information Technology, 1998, 20(1): 62-67.

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STATISTICAL ANALYSIS OF MULTI-LOOK POLARIMETRIC SAR IMAGERY

Received Date: 1996-05-07
Rev Recd Date: 1997-04-17
Publish Date: 1998-01-19

Abstract

Abstract

With a multiplicative speckle model, the unconditional density function of the mutli-look polarimetric synthetic aperture radar (SAR) data is derived, and the result is shown to be a generalized K-distribution. The multi-look intensity K-distribution is particularly compared with histograms of physical radar measurements of several typical terrain types and several empirical distributions. The relationship between the heterogeneity coefficient of the scene texture and the proper statistical distribution model is experimentally established. In addition, based on the results of the statistical analysis, an adaptive classification scheme is presented, and the improved classification shows the importance of the statistical analysis.

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References(1)

References

Goodman J W. Some fundamental properties of speckle[J].J. of Optical Society of America.1976, 66(11):1145-1148[2]Lim H, Swartz A A, et al. Classification of earth terrain using polarimetric SAR images[J].J. of Geophysical Research.1989, 94(136):7049-7057[3]Goodman N R. Statistical analysis based on a certain multivariate complex Gaussian distribution (An introduction)[J].Annals of Mathematical Statistics.1963, 34(l):152-177[4]Ulaby F T, Elachi C. (Ed.) Radar Polarimetry for Geoscience Application, MA: Artech House INC, 1990, Ch.2.[5]Lee J S. Speckle analysis and smoothing of synthetic aperture radar[J].Computer Graphics and Image Processing.1981, 17(l):24-32[6]Novak L M, Schtin M B, Cardullo M J. Studies of target detection algorithms that use polarimetric radar data. IEEE Tans. on AES, 1989, AES-25(2): 150-165.[7]Liu Guoqing, Huang Shunji, Torre A, Rubertone F. Optimal Speckle Reduction in Multi-look Polarimetric SAR Imagery. Proc. IGARSS95, Firenza, Italy: July 1995, 664-666.[8]Ulaby F T, Dobson M C. Handbook of Radar Scattering Statistics for Terrain, MA: Artech House INC, 1989, Ch. 3.[9]刘国庆.极化合成孔径雷达成像的理论分析及应用研究:[博士论文].成都:电子科技大学,1996.

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