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Structural adaptive and optimal speckle filtering in multilook full polarimetric SAR images

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3 Author(s)
Sun Nan ; Graduate School, Chinese Academy of Sciences, Beijing 100039, P. R. China; Inst. of Electronics, Chinese Academy of Sciences, Beijing 100080, P. R. China ; Zhang Bingchen ; Wang Yanjei

A novel approach is proposed for speckle reduction in multilook full polarimetric SAR images. In contrast to others, this approach adopts an enhanced structure detection method to estimate the parameters of the polarimetric covariance matrix for the multilook polarimetric whitening filtering (MPWF) algorithm and thus a structural adaptive and optimal speckle filter is developed. To evaluate the present approach, NASA SIR-C/XSAR, L band, four-look processed polarimetric SAR data of the Tian-Mountain Forest is used for simulation. Experimental results demonstrate the effectiveness of this novel filtering algorithm in case of both speckle reduction and preservation of texture information. Comparisons with other methods are also made.

Published in:

Journal of Systems Engineering and Electronics  (Volume:18 ,  Issue: 2 )