Speckle removal of multi-polarisation SAR imagery using variational method

Yaxin Peng; Fang Li; Jing Qin; Chaomin Shen

doi:10.1117/12.751621

14 November 2007 Speckle removal of multi-polarisation SAR imagery using variational method

Yaxin Peng, Fang Li, Jing Qin, Chaomin Shen

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67903H (2007) https://doi.org/10.1117/12.751621
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper a new speckle reduction method for multi-polarisation Synthetic Aperture Radar (SAR) is proposed by using a constrained-variational model. Variational method is a new technique for SAR speckle removal. In this paper, we generalize the variational method from single-polarisation SAR into multi-polarisation SAR. For a given multi-polarisation SAR, we could define an energy functional. The energy evolves as the original image changes. When the energy reaches its minimum, the corresponding image is regarded as the desired result. In each channel of the multi-polarisation SAR, the speckle follows a Gamma law with mean μ = 1 and variance σ² = 1/M for M-look SAR. This statistical information is used to construct the energy functional. Our energy is a regularization term, which is the integral for the norm of image gradient, with constraints coming from each channel. Then we use the variational method and heat flow method to obtain the minimizer of the energy. A three-intensity image (|HH|², |HV|² and |VV|²) is used to demonstrate our algorithm. Numerical experiment shows a promising result.

Citation Download Citation

Yaxin Peng, Fang Li, Jing Qin, and Chaomin Shen "Speckle removal of multi-polarisation SAR imagery using variational method", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903H (14 November 2007); https://doi.org/10.1117/12.751621

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