Abstract
Abstract. 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.
Highlights
Polarimetric Synthetic Aperture Radar (PolSAR) is a new type of imaging radar used to measure the polarization characteristics of radiation signals
The purpose of this paper is to address the problem of PolSAR despeckling
We propose a polarization relative TV (PolRTV) despeckling method for PolSAR image
Summary
Polarimetric Synthetic Aperture Radar (PolSAR) is a new type of imaging radar used to measure the polarization characteristics of radiation signals. Because of its ability to obtain target scattering echoes in different polarimetric states, PolSAR is better to describe the information contained in the target and has been widely used in many fields including military investigation, geological exploration, surveying agriculture and forestry research. The speckle existing in PolSAR seriously hinders the quality of image and affects the classification, identification and interpretation.
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