Title :
Analysis of the speckle suppression algorithms for one-look SAR images
Author :
Zhao Qian ; Jianquan Yuan
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an
Abstract :
This paper proposes an improved speckle filter based on edge-enhance and iterative scheme to solve the difficulty between speckle reduction and feature preservation. The method detects the edges with ROA detector and enhances these edge pixels with a factor k before smoothing the images. To improve the filter performance, an iterative scheme is used in the GMAP solution. At the end of this paper, the experimental results of the real SAR image are presented to verify this algorithm.
Keywords :
edge detection; gamma distribution; image enhancement; iterative methods; maximum likelihood estimation; radar detection; radar imaging; smoothing methods; speckle; synthetic aperture radar; Gamma maximum a posterior algorithm; ROA detector; edge detection; image enhancement; image smoothing method; iterative scheme; one-look SAR image; speckle filter; speckle suppression algorithm; synthetic aperture radar; Maximum A Posterior (MAP) filter; SAR; edge enhance; iterative scheme; speckle reduction;
Conference_Titel :
Radar Conference, 2009 IET International
Conference_Location :
Guilin
Print_ISBN :
978-1-84919-010-7