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基于功率和相位联合估计TLS-ESPRIT算法的极化干涉SAR数据分析
引用本文:杨磊,赵拥军,王志刚.基于功率和相位联合估计TLS-ESPRIT算法的极化干涉SAR数据分析[J].测绘学报,2007,36(2):163-168.
作者姓名:杨磊  赵拥军  王志刚
作者单位:信息工程大学,信息工程学院,河南,郑州,450002;信息工程大学,信息工程学院,河南,郑州,450002;北京理工大学,电子工程系,北京,100081
摘    要:在推导各散射信号功率计算方法的基础上,提出基于功率和干涉相位联合估计的TLS-ESPRIT方法。因为干涉图像中的各主散射波和干涉相位能被分别估计,所以该算法可以利用同一分辨单元中不同散射机制后向散射信号功率的不同,将干涉相位分类实现散射中心分离。该方法通过提取两个占优势的相位得到两个高度,从而分别检测出森林的植被层和地表,特别是当散射波不相关并有不同的极化特性时,该方法有较好的性能,从而提高植被高度参数的估计精度。详细阐述该方法的原理和实施步骤,并通过对SIR-C/X-SAR的L波段实际数据进行分析处理,验证算法的有效性。

关 键 词:极化干涉SAR  TLS-ESPRIT  联合估计  相位  功率
文章编号:1001-1595(2007)02-0163-06
修稿时间:2006-04-042007-03-06

Polarimetric Interferometric SAR Data Analysis Based on TLS-ESPRIT of Joint Estimation of Phase and Power
YANG Lei,ZHAO Yong-jun,WANG Zhi-gang.Polarimetric Interferometric SAR Data Analysis Based on TLS-ESPRIT of Joint Estimation of Phase and Power[J].Acta Geodaetica et Cartographica Sinica,2007,36(2):163-168.
Authors:YANG Lei  ZHAO Yong-jun  WANG Zhi-gang
Institution:1. Information Engineering College, Information Engineering University, Zhengzhou 450002, China; 2. Department of Electronic Engineering, Beijing University of Technology, Beijing 100081, China
Abstract:Polarimetric SAR interferometry has been studied widely for forest observations. This technique decomposes the local scattering centers by using the polarization state difference among them.Therefore,those forest parameters can be estimated precisely with this method.Recently,many methods of extracting interferometric phase have been proposed,among which,some methods that are developed from spatial spectrum estimation theory has been improved gradually.These methods always use MUSIC or TLS-ESPRIT algorithm to estimate interferometric phase.However,those methods bring some confusion of the inerferometrics phases from different scatter centers due to the lack of scattering centers' separation.In this paper,the TLS-ESPRIT algorithm of joint estimation of inerferometric phase and power by calculating the power of the backscatter signals was proposed.Since the number of the dominant local scattered waves and their interferometric phases in each image patch can be estimated respectively,the proposed algorithm can classify the phases and implement the separation of the scattering centers by utilizing the differences among the powers of backward scattering signal with different mechanism in the same resolving unit.Moreover,in this method,the two height parameters can be obtained by extracting the two optimum phase parameters,furthermore,the local interferometric phases of the ground and canopy can be detected separately.Especially,this method has an advantage of performance when the local scattered waves are uncorrelated and have different polarization characteristics.Therefore,it has higher accuracy in estimation.In this paper,the principles and the implementation steps of this method are addressed in details and its effectiveness is tested using SIR-C/X-SAR L band data.
Keywords:polarimetric SAR interferometry  TLS-ESPRIT  joint estimation  phase  power
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