电子学报 ›› 2015, Vol. 43 ›› Issue (4): 694-699.DOI: 10.3969/j.issn.0372-2112.2015.04.010

• 学术论文 • 上一篇    下一篇

频谱分析技术在层析SAR森林垂直结构信息提取中的应用性能分析

李文梅1,2, 陈尔学2, 李增元2, 冯琦2, 杨浩3, 黎晓4   

  1. 1. 南京邮电大学地理与生物信息学院, 江苏南京 210046;
    2. 中国林业科学研究院资源信息研究所, 北京 100091;
    3. 北京农业信息技术研究中心, 北京 100097;
    4. 西安科技大学, 陕西西安 710054
  • 收稿日期:2013-04-08 修回日期:2014-08-26 出版日期:2015-04-25
    • 通讯作者:
    • 陈尔学
    • 作者简介:
    • 李文梅 女,1984年12月生于山东聊城,毕业于中国林业科学研究院获博士学位,现为南京邮电大学讲师,主要研究方向为层析合成孔径雷达,森林垂直结构信息提取,极化干涉SAR.E-mail:liwm@njupt.edu.cn;李增元 男,1959年12月生于内蒙古,中国林业科学研究院博士生导师,主要从事林业遥感及植被生态环境遥感技术研究,目前重点研究方向为极化SAR、极化干涉SAR遥感数据处理及森林结构信息反演模型和方法.E-mail:lzy@caf.ac.cn
    • 基金资助:
    • 国家863高技术研究发展计划 (No.2011AA120402); 国家973重点基础研究发展计划复杂地表遥感信息动态分析与建模 (No.2013CB733404); 国家自然青年科学基金 (No.41401480); 南京邮电大学引进人才启动基金 (No.NY213105)

Application Performance Analysis of Spectral Analysis Techniques in Forest Vertical Structure Information Extraction Using Tomographic SAR

LI Wen-mei1,2, CHEN Er-xue2, LI Zeng-yuan2, FENG Qi2, YANG Hao3, LI Xiao4   

  1. 1. School of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210046, China;
    2. Institute of Forest Resource Information Technique, Chinese Academy of Forestry, Beijing 100091, China;
    3. Beijing Agricultural Information Technology Research Center, Beijing 100097, China;
    4. Xi'an University of Science and Technology, Xi'an, Shaanxi 710054, China
  • Received:2013-04-08 Revised:2014-08-26 Online:2015-04-25 Published:2015-04-25
    • Supported by:
    • National High-tech R&D Program of China  (863 Program) (No.2011AA120402); National Key Basic Research Program of China  (973 Program) Dynamic Analysis and Modeling of Remote Sensing Information on Complex Surface (No.2013CB733404); National Natural Youth Science Foundation (No.41401480); Fund for Talents Introduction of Nanjing University of Posts and Telecommunications (No.NY213105)

摘要:

为了分析频谱分析在不同应用场景的信号提取能力,分别应用数值模拟与真实林区的多基线InSAR数据分析五种频谱分析方法的提取效果.数值模拟实验表明,Capon方法受信噪比影响较小;在TSAR林区实验中,Capon方法提取森林垂直结构信息效果最优,NSF方法提取冠层高度及地表信息效果最优.

关键词: 合成孔径雷达, 层析合成孔径雷达, 波束成形, Capon, 多重信号分类, 加权信号子空间匹配, 加权噪声子空间匹配, 森林垂直结构

Abstract:

In order to analyze the application effect of spectral analysis techniques in different scenes and provide an optimal one for forest applications,numberical simulations and multi-baseline interferometric synthetic aperture radar(InSAR) data in forest scenario were used to analyze the extraction result using five spectral analysis techniques.It is discovered that,signal to noise ratio (SNR) has little effect on Capon method,and has greater impact on weighted noise subspace fitting estimator (NSF),multiple signal classification (MUSIC) and weighted signal subspace fitting estimator (SSF) method.In tomographic SAR (TSAR) experiment,Capon method has best result in forest canopy/vertical structure information extraction.NSF method has best result in canopy height and topographic information extraction followed by MUSIC.This experiment provided a reference for spectral analysis technique choice in forest information extraction using multi-baseline TSAR.

Key words: SAR, tomographic SAR (TSAR), beamforming, Capon, multiple signal classification (MUSIC), weighted signal subspace fitting estimator (SSF), weighted noise subspace fitting estimator (NSF), forest vertical structure

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