A comparison of regularization-based methods for despeckling of SLC SAR Images

Conference: EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar
04/23/2012 - 04/26/2012 at Nuremberg, Germany

Proceedings: EUSAR 2012

Pages: 4Language: englishTyp: PDF

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Gleich, Dušan; Kseneman, Matej (University of Maribor, Faculty of Electrical Engineering and Computer Science, Slovenia)

This paper presents a comparison for non-quadratic regularization methods for SLC Synthetic Aperture Radar image despeckling and information extraction. Three regularization methods are compared: the quasi Newton approach, a split Bergman iteration for solving minimization of cost function a Total variation minimization using Chambolle’s algorithm. Methods are compared and assessed using objective measurements and different window sizes for synthetic and real SAR images.