A novel speckle reduction algorithm based on multiwavelet theory for SAR imagery
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: PDFPersonal VDE Members are entitled to a 10% discount on this title
Erer, Isin; Kent, Sedef; Yakar, E. (Istanbul Technical University, Faculty of Electrical and Electronic Engineering, Istanbul, TURKEY)
A new speckle reduction algorithm based on multiwavelet transform is presented. The subband decomposition is performed using multiwavelet transform. The SAR image is decomposed using multiwavelet transform and a threshold value is estimated according to noise variance in each subband and soft thresholding operation is applied on the non-edge regions of the subband images. The despeckled image is obtained from the thresholded subband images using the inverse multiwavelet transform. Results show that the proposed method has better noise removal capacity than the scalar wavelet transform based methods.