Title :
Speckle reduction for SAR images based on soft-morphological filter with omni-directional multiple structuring elements
Author :
Mingjie, Zheng ; Xianfeng, Liu ; Ruliang, Yang
Author_Institution :
Inst. of Electron., Acad. Sinica, Beijing, China
Abstract :
A method on reducing speckle in high resolution single-look synthetic aperture radar (SAR) images is put forward in this paper. Based on soft-morphology, the method is called soft-morphological filter with omnidirectional multiple structuring elements. It substitutes omni-directional multiple structuring elements for common structuring elements. Using it, point targets are detected and preserved and single-look SAR images with high spatial resolution and high radiometric resolution can be obtained. Its efficiency is testified with SAR raw data
Keywords :
filtering theory; image resolution; mathematical morphology; nonlinear filters; radar detection; radar imaging; radar resolution; speckle; synthetic aperture radar; RADARSAT-SAR; SAR images; SAR raw data; high radiometric resolution; high resolution single-look SAR images; high spatial resolution; nonlinear filter; omnidirectional multiple structuring elements; point target detection; radar imaging; soft-morphological filter; speckle reduction; synthetic aperture radar; Filtering; Filters; Image resolution; Morphology; Object detection; Radar detection; Radiometry; Signal to noise ratio; Spatial resolution; Speckle;
Conference_Titel :
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location :
Beijing
Print_ISBN :
0-7803-7000-7
DOI :
10.1109/ICR.2001.984863
