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

doi:10.3969/j.issn.0372-2112.2015.04.010

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

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. 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-mei^1,2, CHEN Er-xue², LI Zeng-yuan², FENG Qi², YANG Hao³, LI Xiao⁴

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/Abstract

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

中图分类号:

TP79

李文梅, 陈尔学, 李增元, 等. 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[J]. 电子学报, 2015, 43(4): 694-699.

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.

参考文献

[1] Tebaldini S,Rocca F.Multibaseline polarimetric SAR tomography of a boreal forest at P-and L-bands[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(1):232-246.
[2] F Gini,F Lombardini,M Montanari.Layover solution in multibaseline SAR interferometry[J].IEEE Transactions on Aerospace and Electronic Systems,2002,38(4):1344-1356.
[3] Stefan Sauer,et al.Multibaseline pol-insar analysis of urban scenes for 3D modeling and physical feature retrieval at l-band[A].Proceedings of Geoscience and Remote Sensing Symposium[C].Barcelona:IEEE,2007.1098-1101.
[4] S Guillaso,et al.Evaluation of the esprit approach in polarimetric interferometric SAR[A].Proceedings of Geoscience and Remote Sensing Symposium[C].Seoul:IEEE,2005.1-4.
[5] Huang Yue,Ferro-Famil Laurent,Reigber Andreas.Under-foliage object imaging using SAR tomography and polarimetric spectral estimators[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(6):2213-2225.
[6] S Sauer,L Ferro-Famil,et al.Physical parameter extraction over urban areas using l-band polsar data and interferometric baseline diversity[A].Proceedings of Geoscience and Remote Sensing Symposium[C].Barcelona:IEEE,2007.5045-5048.
[7] Tebaldini S,Rocca F.Single and multi-polarimetric SAR tomography of forested areas:a parametric approach[J].IEEE Transactions on Geoscience and Remote Sensing,2010,48(5):2375-2387.
[8] 王学猛,王斌.二维Root-MUSIC算法的快速实现方法[J].声学技术,2011,30(6):542-546. WANG Xue-meng,WANG Bin.Research on fast-realization of 2D Root-MUSIC algorithm[J].Technical Acoustics,2011,30(6):542-546.(in Chinese)
[9] 王安义,战金龙,卢建军.一种新的二维Capon算法的研究[J].西安科技学院学报,2003,23(4):437-440. WANG An-yi,ZHAN Jin-long,LU Jian-jun.A new 2-D Capon algorithm[J].Journal of Xi'an University of Science and Technology,2003,23(4):437-440.(in Chinese)
[10] Huang Yue.Tomographic processing of polarimetric and interferometric SAR data for urban and forestry remote sensing[D].Rennes:University Rennes,2011.83-153.
[11] A Reigber,A Moreira.First demonstration of airborne SAR tomography using multibaseline l-band data[J].IEEE Transaction on Geoscience and Remote Sensing,2000,38(5):2142-2152.
[12] Reigber Andreas.Airborne polarimetric SAR tomography[D].Stuttgart:Institute of Navigation University of Stuttgart,2001.53-70.
[13] V Veen B D,K M Buckley.Beamforming:a versatile approach to spatial filtering[J].IEEE ASSP Magazine,1988,5(2):4-24.
[14] J Homer,I Longstaff,Z She,D Gray.High resolution 3D imaging via multi-pass SAR[J].IEE Proceedings of Radar,Sonar and Navigation,2002,149 (1):45-50.
[15] P Stoica,R Moses.Spectral Analysis of Signals[M].New Jersey:Pearson Prentice Hall,2005.150-209,275-334.
[16] F Gini,F Lombardini.Multibaseline cross-track SAR interferometry:a signal processing perspective[J].IEEE Transactions on Aerospace Electronic Systems,2005,38(4):1344-1356.
[17] M Viberg,B Ottersten.Sensor array processing based on subspace fitting[J].IEEE Transactions on Signal Processing,1991,39:1110-1121.
[18] P Stoica,A Nehorai.Performance study of conditional and unconditional direction-of arrival estimation[J].IEEE Transactions on Acoustics Speech and Signal Processing,1990,38(10):1783-1795.

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

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

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	王俊杰, 冯德军, 隋冉, 邢世其, 肖顺平. 基于非周期PSS的SAR目标特征操控方法研究[J]. 电子学报, 2023, 51(3): 564-572.
[2]	张云, 化青龙, 姜义成, 徐丹. 基于混合型复数域卷积神经网络的三维转动舰船目标识别[J]. 电子学报, 2022, 50(5): 1042-1049.
[3]	张继龙, 李业振, 刘勇, 王栋. 基于透镜成像原理的微波阵列快速成像技术[J]. 电子学报, 2022, 50(5): 1107-1116.
[4]	林志, 林敏, 黄清泉, 赵柏, 顾晨伟, 许拔. 能效最大化准则下的星地融合网络的安全波束成形算法[J]. 电子学报, 2022, 50(1): 124-134.
[5]	林敏, 张健, 林志, 王子宁, 郭克锋, 欧阳键. 多播传输模式下的卫星通信安全波束成形算法[J]. 电子学报, 2022, 50(1): 98-105.
[6]	李玉, 王姝运, 赵泉华. 基于斑点统计特性保持的SAR影像迭代滤波[J]. 电子学报, 2021, 49(9): 1809-1817.
[7]	秦宇镝, 孙晓颖, 刘国红. 基于协方差差分的近场源定位参量估计[J]. 电子学报, 2021, 49(1): 177-182.
[8]	王明春, 张嘉峰, 杨子渊, 刘涛. Beta分布下基于白化滤波的极化SAR图像海面舰船目标CFAR检测方法[J]. 电子学报, 2019, 47(9): 1883-1890.
[9]	张嘉峰, 杨子渊, 张鹏, 刘涛. Fisher纹理分布下基于匹配滤波的极化SAR图像CFAR检测方法[J]. 电子学报, 2019, 47(12): 2533-2543.
[10]	李亮, 洪峻, 陈琦, 王爱春, 王宇, 明峰, 朱勇涛. 基于极化有源定标器的高分三号SAR在轨测试分析[J]. 电子学报, 2018, 46(9): 2157-2164.
[11]	李东, 赵婷, 宋伟, 刘庆华, 曾浩, 张成祥. 一种低信噪比下稳健的ISAR平动补偿方法[J]. 电子学报, 2018, 46(9): 2049-2056.
[12]	王彬, 王国宇. 基于广义Gamma分布的高分辨率SAR图像海岸线检测[J]. 电子学报, 2018, 46(4): 827-833.
[13]	陈文峰, 李少东, 杨军, 马晓岩. 低信噪比下二维联合快速超分辨B-ISAR成像方法[J]. 电子学报, 2018, 46(4): 840-848.
[14]	张嘉峰, 朱博, 张鹏, 王明春, 刘涛. Wishart分布情形下极化SAR图像目标CFAR检测解析方法[J]. 电子学报, 2018, 46(2): 433-439.
[15]	张嘉峰, 张鹏, 王明春, 刘涛. Fisher分布下基于白化滤波的极化SAR图像CFAR检测方法[J]. 电子学报, 2018, 46(12): 2854-2861.