Segmentation method for agglomerative hierarchical-based sea ice types using polarimetric SAR data

doi:10.11834/jrs.20132091

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Segmentation method for agglomerative hierarchical-based sea ice types using polarimetric SAR data
Vol. 17, Issue 4, Pages: 887-904(2013)
Published： 2013 ，
DOI： 10.11834/jrs.20132091

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[1]于波,孟俊敏,张晰,纪永刚.结合凝聚层次聚类的极化SAR海冰分割[J].遥感学报,2013,17(04):887-904.

Segmentation method for agglomerative hierarchical-based sea ice types using polarimetric SAR data. [J]. Journal of Remote Sensing 17(4):887-904(2013)
[1]于波,孟俊敏,张晰,纪永刚.结合凝聚层次聚类的极化SAR海冰分割[J].遥感学报,2013,17(04):887-904. DOI： 10.11834/jrs.20132091.

Segmentation method for agglomerative hierarchical-based sea ice types using polarimetric SAR data. [J]. Journal of Remote Sensing 17(4):887-904(2013) DOI： 10.11834/jrs.20132091.

摘要

针对全极化高分辨率合成孔径雷达（SAR）多噪声的特点

选择合适的海冰SAR影像纹理特征量

并基于凝聚层次聚类的思想

提出一种全极化SAR海冰分割方法。将该方法的结果与K-Means、迭代自组织聚类（ISODATA）和模糊C均值算法等经典分割方法相比较

发现该方法的碎斑明显减少

且分割结果较为准确

证明了该方法的有效性。

Abstract

This paper investigates the characteristics of high resolution full-polarization Synthetic Aperture Rader （ SAR） data combined with the selected texture characteristic

and uses the theory of the agglomerative hierarchical clustering algorithm to present a sea ice segmentation method using full-polarimetric SAR data. By comparing the result of this method with the results of the K-Means

ISODATA

and fuzzy c-means methods

we verified that our method can reduce the number of small patches and realize good segmentation accuracy. The results verify the validity of this method.

关键词

海冰类型全极化SAR纹理特征凝聚层聚类分割算法辽东湾海冰

Keywords

sea ice typespolarization SARtexture featureagglomerative hierarchical clustering segmentation algorithmsea ice in Liaodong Bay

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相关机构

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

University of Chinese Academy of Sciences

Renewable Energy Laboratory of Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

College of Resources and Environmental, University of Chinese Academy of Sciences

中国地震局工程力学研究所地震工程与工程振动重点实验室

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