DESPECKLING POLSAR IMAGES BASED ON RELATIVE TOTAL VARIATION MODEL

Jiang, C.; He, X. F.; Yang, L. J.; Jiang, J.; Wang, D. Y.; Yuan, Y.

Relatively total variation (RTV) algorithm, which can effectively decompose structure information and texture in image, is employed in extracting main structures of the image. However, applying the RTV directly to polarimetric SAR (PolSAR) image filtering will not preserve polarimetric information. A new RTV approach based on the complex Wishart distribution is proposed considering the polarimetric properties of PolSAR. The proposed polarization RTV (PolRTV) algorithm can be used for PolSAR image filtering. The L-band Airborne SAR (AIRSAR) San Francisco data is used to demonstrate the effectiveness of the proposed algorithm in speckle suppression, structural information preservation, and polarimetric property preservation.

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Jiang, C. / He, X. F. / Yang, L. J. / et al: DESPECKLING POLSAR IMAGES BASED ON RELATIVE TOTAL VARIATION MODEL. 2018. Copernicus Publications.

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