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遥感技术与应用  2014, Vol. 29 Issue (2): 232-239    DOI: 10.11873j.issn.1004-0323.2014.2.0232
模型与反演     
极化相干层析反演森林垂直结构原理与方法研究
李文梅1,2,李增元1,陈尔学1,孙晗伟3,王馨爽4
(1.中国林业科学研究院资源信息研究所,北京 100091;2.南京邮电大学地理与生物信息学院,江苏 南京 210023;
3.清华大学电子系,北京 100084;4.国家测绘地理信息局陕西基础地理信息中心,陕西 西安 710054)
Principle and Method of Forest Vertical Structure Inversion Using Polarization Coherence Tomography
Li Wenmei1,2,Li Zengyuan1,Chen Erxue1,Sun Hanwei3,Wang Xinshuang4
(1.Institute of Forest Resources Information Techniques,Chinese Academy of Forestry,Beijing 100091,China;
2.College of Geographic and Biologic Information,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;
3.Departmentof Electronic Engineering,Tsinghua University,Beijing 100084,China;
4.Shannxi Geomatics Center of National Administration of Surveying,Mapping and Geoinfomation,Xi’an 710054,China)
 全文: PDF(3079 KB)  
摘要:

层析技术对于垂直结构信息提取具有独特的优势,已被广泛应用于森林垂直结构参数提取\,混合环境分离等。极化相干层析(Polarization Coherence Tomography,PCT)是一种依靠先验知识基于干涉复相干通过傅立叶—勒让德展开式重建目标垂直结构的层析技术。单基线或双基线PCT技术依然可以获取森林垂直结构剖面,由于基线数量过少,很多学者对这一方法存在质疑。研究目的是分析单基线PCT技术提取森林垂直结构剖面的原理\,方法与目前存在的问题。具体方法如下:①应用森林模拟数据提取不同森林场景平均后向散射能量垂直分布;②采用PCT技术获取模拟场景尺度森林垂直结构剖面(相对反射率垂直分布);③分析平均后向散射能量垂直分布与森林垂直结构剖面的异同;④总结森林垂直结构剖面含义及物理意义。结果表明:PCT技术重建的森林垂直结构剖面能够近似表征平均后向散射能量垂直分布轮廓;不同极化方式其森林垂直结构剖面与平均后向散射能量垂直分布也不同;平均后向散射能量垂直分布包含更多的细节信息。

关键词: 平均后向散射能量单基线极化相干层析森林垂直结构剖面合成孔径雷达    
Abstract:

Tomographic technology has unique advantage in forest vertical structure information extraction,and it has been applied for forest vertical structure parameters extraction,hybrid environment separation and so on.Polarization Coherence Tomography(PCT)is a tomography technique relying on a priori information using Fourier-Legendre series to reconstruct target vertical structure based on interferometric coherence.Single or dual\|baseline PCT technique still can be used for forest vertical structure profile extraction.Some scholars questioned this method as it has too little baselines to get vertical structure information.The objective of our research is to analyze the principle,approach and present problems of forest vertical structure profile extraction using single baseline PCT technology.Specific method is as follows:first,vertical distribution of mean backscattering power in different forest scenarios are collected using forest simulation data;second,forest vertical structure profile(vertical distribution of relative reflectivity)is produced by PCT;third,similarities and differences between vertical distribution of mean backscattering power and forest vertical structure profile are analyzed;fourth,physical significance of forest vertical structure profile will be concluded.The results show that:①Forest vertical structure profile reconstructed by PCT approximately express the vertical distribution outline of mean backscattering power.②Forest vertical structure profile and mean backscattering power vertical distribution of different polarization are different.③The vertical distribution of mean backscattering power contains more details.

Key words: Mean backscattering power    Single baseline Polarization Coherence Tomography    Forest vertical structure profile    SAR
收稿日期: 2013-03-09 出版日期: 2014-05-14
:  TP 79  
基金资助:

863计划项目“高分辨率SAR遥感综合试验与应用示范”(2011AA120405),973计划项目“复杂地表遥感信息动态分析与建模”(2013CB733400)。

通讯作者: 陈尔学(1968-),男,山东菏泽人,研究员,主要从事合成孔径雷达应用、机星载雷达遥感信息林业应用等方面的研究。 Email:chenerx@gmail.com。   
作者简介: 李文梅(1984-),女,山东聊城人,博士研究生,主要从事微波遥感提取森林垂直结构信息,林业遥感等方面的研究。Email:liwmnju0750@gmail.com。
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引用本文:

李文梅,李增元,陈尔学,孙晗伟,王馨爽. 极化相干层析反演森林垂直结构原理与方法研究[J]. 遥感技术与应用, 2014, 29(2): 232-239.

Li Wenmei,Li Zengyuan,Chen Erxue,Sun Hanwei,Wang Xinshuang. Principle and Method of Forest Vertical Structure Inversion Using Polarization Coherence Tomography. Remote Sensing Technology and Application, 2014, 29(2): 232-239.

链接本文:

http://www.rsta.ac.cn/CN/10.11873j.issn.1004-0323.2014.2.0232        http://www.rsta.ac.cn/CN/Y2014/V29/I2/232

[1]Cloude S R,Papathanassiou K P.Polarimetric SAR Interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,1998,36(5):1551-1565.

[2]Papathanassiou K P,Cloude S R.Single Baseline Polarimetric SAR Interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(11):2352-2363.

[3]Treuhaft R N,Madsen S,Moghaddam M,et al.Vegetation Characteristics and Underlying Topography from Interferometric Data[J].Radio Science,1996,31(6):1449-1495.

[4]Reigber A,Moreira A.First Demonstration of Airborne SAR Tomography Using Multi-baseline L-Band Data[J].IEEE Transaction on Geoscience and Remote Sensing,2000,38(5):2142-2152.

[5]Reigber A,Papathanassiou K P,Cloude S,et al.SAR Tomography and Interferometry for the Remote Sensing of Forested Terrain[J].Frequenz,2000,55(3-4):119-123.

[6]Treuhaft R N,Siqueria P.Vertical Structure of Vegetated Land Surfaces from Interferometric and Polarimetric Radar[J].Radio Science,2000,35(1):141-177.[7]Treuhaft R N,Asner G P,Law B E,et al.Forest Leaf Area Density Profiles from the Quantitative Fusion of Radar and Hyperspectral Data[J].Journal of Geophysical Research:Atmospheres,2002,107(D21):ACL 7-1-ACL 7-13.

[8]Lombardini F.Differential Tomography:A New Framework for SAR Interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2005,43(1):37-44.

[9]Fornaro G,Serafino F,Soldovieri F.Three Dimensional Focusing with Multipass SAR Data[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(3):507-517.

[10]Tebaldini S,Rocca F.Multi-baseline Polarimetric SAR Tomography of a Boreal Forest at P- and L-Band[J].IEEE Transactions on Geosciences and Remote Sensing,2012,50(1):232-246.

[11]Huang Yue,Ferro-Famil L,Reigber A.Under-foliage Object Imaging Using SAR Tomography aAnd Polarimetric Spectral Estimators[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(6):2213-2225.

[12]Treuhaft R N,Law B E,Asner G P.Forest Attributes from Radar Interferometric Structure and Its Fusion with Optical Remote Sensing[J].BioScience,2004,56(6):561-571.

[13]Le-Toan T,Beaudoin A,Riom J,et al.Relating Forest Biomass to SAR Data[J].IEEE Transactions on Geoscience and Remote Sensing,1992,30(2):403-411.

[14]Treuhaft R N,Madsen S,Moghaddam M,et al.Vegetation Characteristics and Underlying Topography from Interferometric Data[J].Radio Science,1996,31(6):1449-1495.

[15]Cloude S R.Polarization Coherence Tomography[J].Radio Science,2006,41(RS 4017):1-27.

[16]Papathanassiou K P,Cloude S R.Single Baseline Polarimetric SAR Interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(11):2352-2363.

[17]Wang Yanping,Wang Bin,Hong Wen,et al.Tomography Processing Technique Using Long-term Spaceborne SAR Data[J].Journal of Test and Measurement Technology,2008,22(6):472-477.[王彦平,王斌,洪文,等.长序列星载合成孔径雷达数据层析处理技术[ J ].测试技术学报,2008,22(6):472-477.]

[18]Cloude S R.Polarisation:Applications in Remote Sensing[M].New York:Oxford University Press,2009.

[19]Cloude S R.Dual-baseline Coherence Tomography[J].IEEE Geosciences and Remote Sensing Letters,2007,4(1):127-131.

[20]Cloude S R.Multi Baseline Polarization Coherence Tomography[C]//Pol-InSAR 2007,2007.

[21]Praks J,Kugler M,Papathanassiou F,et al.Coherence Tomography for Boreal Forest:Comparison With HUTSCAT Scatterometer Measurements[C]//Synthetic Aperture Radar(EUSAR),2008 7th European Conference,1-4.

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