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基于分割途径的SAR单视图像斑点噪声抑制方法
引用本文:燕英,周荫清. 基于分割途径的SAR单视图像斑点噪声抑制方法[J]. 北京航空航天大学学报, 2003, 29(2): 132-135
作者姓名:燕英  周荫清
作者单位:北京航空航天大学,电子工程系;北京航空航天大学,电子工程系
摘    要:在图像分割思想的基础上,结合合成孔径雷达(SAR)图像的区域特征,利用恒虚警率边沿检测技术将分割区域最大化,并在分割区域内根据SAR图像特性进行优化滤波,得到了一种基于图像分割的单视SAR图像降斑方法.其中,边沿检测和区域分割在多视图像中进行,保证了检测和分割的有效性.计算机仿真结果证明了该方法的优越性. 

关 键 词:合成孔径雷达  噪声抑制  空间分辨率  图像分割  边沿检测
文章编号:1001-5965(2003)02-0132-04
收稿时间:2001-11-26
修稿时间:2001-11-26

Speckle Filtering Based on Segmentation for Monolook SAR Images
Yan Ying Zhou Yinqing. Speckle Filtering Based on Segmentation for Monolook SAR Images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2003, 29(2): 132-135
Authors:Yan Ying Zhou Yinqing
Affiliation:Dept. of Electronic Engineering, Beijing University of Aeronautics and Astronautics
Abstract:A segmentation based method was proposed for speckle reduction of synthetic aperture radar(SAR) monolook images. Taking explicitly into account the characteristics of areas in a SAR monolook image, this method maximizes a given area with the help of edge detection with constant false alarm rate, and applies optimum filtering in the segmented area. Moreover, edge detection and image segmentation in the multilook image assure the effectiveness of the operations. Comparing with typical speckle filters, experimental results suggest that the proposed filter is an excellent alternative in speckle suppression.
Keywords:synthetic aperture radar  noise suppression  space resolution  image segmentation  edge detection
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