Speckle reduction of Advanced Synthetic Aperture Radar imagery using the Dual-Tree Complex Wavelet Transform

Conference: EUSAR 2006 - 6th European Conference on Synthetic Aperture Radar
05/16/2006 - 05/18/2006 at Dresden, Germany

Proceedings: EUSAR 2006

Pages: 4Language: englishTyp: PDF

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Ioannidou, Styliani; Karathanassi, Vassilia (Laboratory of Remote Sensing, School of Rural and Surveying Engineering, National Technical University of Athens, Greece)

Wavelet theory is a current trend in digital image processing, used for various applications including fusion and denoising. The dual tree complex wavelet transform (DT-CWT) proposed by Nick Kingsbury is a multiresolution environment method which compensates the major drawbacks of conventional wavelet methods. A new speckle removal algorithm based on the DT-CWT is proposed, implemented on ENVISAT imagery and compared to standard speckle removal methods for evaluation purposes. The evaluation showed that the DT-CWT speckle removal method provides accurate results at local and global level, removing speckle noise effectively and with minor spectral distortions and blurring effects.