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

LI Wen-mei; CHEN Er-xue; LI Zeng-yuan; FENG Qi; YANG Hao; LI Xiao

doi:10.3969/j.issn.0372-2112.2015.04.010

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

更新时间：2025-07-16

- Application Performance Analysis of Spectral Analysis Techniques in Forest Vertical Structure Information Extraction Using Tomographic SAR
- Acta Electronica Sinica Vol. 43, Issue 4, Pages: 694-699(2015)
- 作者机构：
  
  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
  5. 南京邮电大学地理与生物信息学院,江苏,南京,210046
  6. 中国林业科学研究院资源信息研究所,北京,100091
  7. 北京农业信息技术研究中心,北京,100097
  8. 西安科技大学,陕西,西安,710054
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2015.04.010
  CLC： TP79
- Published：2015
- 稿件说明：
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LI Wen-mei, CHEN Er-xue, LI Zeng-yuan, et al. Application Performance Analysis of Spectral Analysis Techniques in Forest Vertical Structure Information Extraction Using Tomographic SAR[J]. Acta Electronica Sinica, 2015, 43(4): 694-699.
DOI：

LI Wen-mei, CHEN Er-xue, LI Zeng-yuan, et al. Application Performance Analysis of Spectral Analysis Techniques in Forest Vertical Structure Information Extraction Using Tomographic SAR[J]. Acta Electronica Sinica, 2015, 43(4): 694-699. DOI： 10.3969/j.issn.0372-2112.2015.04.010.

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.

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.

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