Title :
A new speckle reduction algorithm for SAR images
Author :
Su, Jinggang ; Ma, Hongbing
Author_Institution :
Tsinghua Univ., Beijing
Abstract :
Coherence in imaging of Synthetic Aperture Radar (SAR) causes Speckle-Effects inherently, which restricts applications of SAR image severely. According to statistic characteristics of speckles and texture characteristics of SAR images, a speckle reduction algorithm with size-changeable window is put forward in this thesis based on relative standard deviation of speckle noise. As the experiment results show, this algorithm has good performance in removing speckles, along with well protection of edge characteristics in SAR images, better than commonly used speckle reduction algorithms to a certain degree.
Keywords :
image texture; radar imaging; synthetic aperture radar; SAR imaging coherence; speckle noise; speckle reduction algorithm; synthetic aperture radar; texture characteristics; Filtering; Filters; Image resolution; Light scattering; Noise reduction; Radar imaging; Radar scattering; Signal resolution; Speckle; Synthetic aperture radar; Synthetic Aperture Radar; relative standard deviation; speckle noise;
Conference_Titel :
Synthetic Aperture Radar, 2007. APSAR 2007. 1st Asian and Pacific Conference on
Conference_Location :
Huangshan
Print_ISBN :
978-1-4244-1188-7
Electronic_ISBN :
978-1-4244-1188-7
DOI :
10.1109/APSAR.2007.4418620
