Speckle reduction and segmentation of Synthetic Aperture Radar images

被引：45
|
作者：
Smith, DM [1 ]
机构：
[1] UNIV BRISTOL, DEPT GEOG, REMOTE SENSING UNIT, BRISTOL BS8 1SS, AVON, ENGLAND
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 1996年 / 17卷 / 11期
关键词：
D O I：
10.1080/01431169608948758
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Two simple modifications to the established sigma filter are proposed, and demonstrated to improve both its efficiency at smoothing speckle noise and its ability to preserve fine features. A fully automatic, unsupervised segmentation algorithm, based on the iterative application of the new filter, is described and successfully applied to ERS-1 Synthetic Aperture Radar (SAR) images of sea ice. The simplicity of this segmentation approach, together with its ability to segment classes separated by a gradual change in grey level intensity, may offer significant advantages over techniques based on edge-detection and region growing.
引用
收藏
页码：2043 / 2057
页数：15
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