包敦其河冲积扇全极化SAR数据同极化相关特征分析

doi:10.11873/j.issn.1004-0323.2008.4.385

遥感技术与应用

2008, Vol. 23

Issue (4): 385-388 DOI: 10.11873/j.issn.1004-0323.2008.4.385

研究与应用

包敦其河冲积扇全极化SAR数据同极化相关特征分析

张露,郭华东,廖静娟,韩春明

（中国科学院对地观测与数字地球科学中心数字地球实验室,北京 100190）

Research on Copolarized Correlation Characteristic fromBodunqi Alluvial Fan Using Full-polarized SAR Data

ZHANG Lu,GUO Hua-dong,LIAO Jing-juan,HAN Chun-ming

（Laboratory of Digital Earth Sciences,Center for Earth Observations and Digital Earth,Chinese Academy of Sciences,Beijing,100190,China）

全文: PDF(1046 KB)

摘要：

冲积扇蕴涵气候演变信息,极化合成孔径雷达（Polarimetric Synthetic Aperture Radar-PolSAR）能够获取丰富的地表信息,更有效地提取冲积扇所在地区气候演变过程。不同极化正交基对应的同极化相关特征是反映地物特征的重要参数之一,其绝对值为同极化相关系数,辐角为相位差。利用全极化SIR-C L波段数据,提取并分析包敦其河冲积扇不同极化正交基对应的同极化相关特征,发现水平—垂直（h,v）线性正交基对应的同极化相关特征能够有效地反映该冲积扇的不同特征区域。此外,对同极化相关特征随包敦其河冲积扇地表粗糙度以及湿度的变化规律进行统计分析,结果表明（h,v）线性正交基对应的同极化相位差以及右旋—左旋（r,l）极化正交基对应的同极化相关系数对地表参数敏感,能够描述包敦其河冲积扇地表参数的变化。

关键词： 极化合成孔径雷达; 同极化相关特征; 冲积扇

Abstract:

Paleoclimate can be extricated from alluvial fan by using full-polarized Synthetic Aperture Radar (SAR).Polarization coherence ρ is an important parameter to characterize the ground scatterers (|ρ| is polarization coherence coefficient,the phase of ρ is phase difference).In this paper,the distribution of ρ is extricated from Bodunqi Alluvial Fan using Shuttle Imaging Radar-C (SIR-C) L band fully-polarized data.The results show that ρhhvv(ρ between Shh and Svv) can well characterize the alluvial fan.Besides,we researched the relationship between ρ and ground parameters of Bodunqi Alluvial Fan such as roughness and moisture in this paper.It indicates that the phase difference between Shh and Svv and the |ρ| between Srr and Sll can be affected by ground parameters.

Key words: Full-polarized SAR Copolarized correlation characteristic Alluvial fan

收稿日期: 2008-01-08 出版日期: 2011-11-03

TP 79

基金资助:

863项目“新型成像雷达典型地物参数反演研究”（2006AA12Z122）资助。

作者简介: 张露（1976-）,男,博士,助研,主要从事微波遥感方面的研究。E-mail:zhanglu@irsa.ac.cn。

	服务
	把本文推荐给朋友
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章

引用本文:

张露,郭华东,廖静娟,韩春明. 包敦其河冲积扇全极化SAR数据同极化相关特征分析[J]. 遥感技术与应用, 2008, 23(4): 385-388.

ZHANG Lu,GUO Hua-dong,LIAO Jing-juan,HAN Chun-ming . Research on Copolarized Correlation Characteristic fromBodunqi Alluvial Fan Using Full-polarized SAR Data. Remote Sensing Technology and Application, 2008, 23(4): 385-388.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2008.4.385 或 http://www.rsta.ac.cn/CN/Y2008/V23/I4/385

[1]　Pan S R,Wu G H,Chen C K.Physical Geography[M].Beijing:Higher Education Press,1985.[潘树仁,伍光和,陈传康.自然地理学[M].北京:高等教育出版社,1985.]
[2]　Mo W D.The Development and Theory of Alluvial Fan and Its Practical Significance[C].Geomorphology·Environment·Development,Beijing:China Environmental Science Press.1995.[莫闻多.冲积扇研究的发展及其理论与实际意义[C].地貌·环境·发展,北京:中国环境科学出版杜.1995.]
[3]　Sarabandi K,Oh Y,Ulaby F T.Polarimetric Radar Measurements of Bare Soil Surfaces at Microwave Frequencies[C].Digestnternational Geoscience and Remote Sensing Symposium (IGARSS)( Espoo,Finl),1991.
[4] Sarabandi K.Derivation of Phase Statistics from the Mueller Matrix[J].Radio Science,1992,27(5):553-560.
[5]　Ulaby F T,Sarabandi K,Nashashibi A.Statistical Properties of the Mueller Matrix of Distributed Targets[C].IEE Proceedings,Part F:Radar and Signal Processing,1992,139(2):136-146.
[6] Oh Y,Sarabandi K,Ulaby F T.Semi-empirical Model of the Ensemble-averaged Differential Mueller Matrix for Microwave Backscattering from Bare Soil Surfaces[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(6):1348-1355.
[7]　Schuler D L,Lee J S,Kasilingam D,et al.Surface Roughness and Slope Measurements Using Polarimetric SAR Data[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(3):687-698.
[8]　Mattia F,Le T T,Souyris J C,et al.The Effect of Surface Roughness on Multifrequency Polarimetric SAR Data [ J].
IEEE Transactions on Geoscience and Remote Sensing,1997,35(4):954-966.
[9]　Oh Y.Quantitative Retrieval of Soil Moisture Content and Surface Roughness from Multipolarized Radar Observations of Bare Soil Surfaces[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(3):596-601.

[1]	姜萍，刘修国，陈启浩，邵芳芳. 利用多尺度SVM-CRF模型的极化SAR图像建筑物提取[J]. 遥感技术与应用, 2017, 32(3): 475-482.
[2]	袁春琦,徐佳,程圆娥,陈媛媛,许康. 基于协同训练与集成学习的极化SAR图像半监督分类[J]. 遥感技术与应用, 2017, 32(2): 380-385.
[3]	林国青,郭华东,张露. 基于SAR数据的干旱区冲积扇地表粗糙度反演[J]. 遥感技术与应用, 2013, 28(4): 659-665.
[4]	王刚,余洁,朱腾,张中山,赵争. 改进的遗传算法用于极化合成孔径雷达影像非监督分类[J]. 遥感技术与应用, 2013, 28(1): 65-71.
[5]	张露, 郭华东, 李新武. 利用POLSAR数据探索极化相关系数在居民地提取中的作用[J]. 遥感技术与应用, 2010, 25(4): 474-479.
[6]	邹斌,张腊梅,孙德明,张晔. PolSAR图像信息提取技术及应用的发展[J]. 遥感技术与应用, 2009, 24(3): 263-273.
[7]	汪　洋,鲁加国,张长耀. 基于Krogager分解和SVM的极化SAR图像分类[J]. 遥感技术与应用, 2007, 22(1): 70-74.

Viewed

Full text

Abstract

Cited

Shared

Discussed