DocumentCode
461595
Title
Robust Despeckle for SAR Image Using Multiscale Autoregressive Model
Author
Wen, Xianbin ; Zhang, Hua ; Tian, Zheng
Author_Institution
Dept. of Comput. Sci. & Eng., Tianjin Univ. of Technol.
Volume
1
fYear
2006
fDate
16-20 2006
Abstract
We propose a novel, robust and multiscale despeckling method, based on the robust multiscale scale-recursive estimation algorithm of multiscale autoregressive (MAR) model on dyadic tree. First, a suitable MAR model, which provide a powerful framework for describing random process and fields that evolve in scale, is selected to model SAR image. Then, filtering for the image is given based on the robust scale-recursive optimal estimation algorithm. The proposed algorithm is not only computationally efficient but also capable of generating error statistics, as desired. Experiments over SAR images confirm the robustness of the filtering algorithm we proposed
Keywords
autoregressive processes; error statistics; filtering theory; radar imaging; random processes; synthetic aperture radar; SAR image; dyadic tree; error statistics; filtering algorithm; multiscale autoregressive model; multiscale despeckling method; random process; robust multiscale scale-recursive estimation algorithm; robust scale-recursive optimal estimation algorithm; Computer science; Equations; Filtering algorithms; Filters; Noise measurement; Random processes; Robustness; Spatial resolution; Speckle; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.344511
Filename
4128847
Link To Document