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multi-baseline extended particle filtering phase unwrapping algorithm based on amended matrix pencil model and quantized path-following strategy

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Journal of Systems Engineering and Electronics 2019年第1期30卷 78-84页

作者： XIE Xianming ZENG Qingning School of Information and Communication Guilin University of Electronic Technology

This paper proposes a new multi-baseline extended particle filtering phase unwrapping algorithm which combines an extended particle filter with an amended matrix pencil model and a quantized path-following strategy. The contributions to multibaseline synthetic aperture radar(SAR) interferometry are as follows: a new recursive multi-baseline phase unwrapping model based on an extended particle filter is built, and the amended matrix pencil model is used to acquire phase gradient information with a higher precision and lower computational cost, and the quantized path-following strategy is introduced to guide the proposed phase unwrapping procedure to efficiently unwrap wrapped phase image along the paths routed by a phase derivative variance map.

关键词： multi-baseline phase unwrapping interferometric synthetic aperture radar (InSAR) extended particle filter.

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维普期刊数据库

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A multi-baseline PolInSAR Forest Height Inversion Method Taking into Account the Model Ill-posed Problem

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Journal of Geodesy and Geoinformation Science 2024年第3期7卷 42-56页

作者： LIN Dongfang ZHU Jianjun LI Zhiwei FU Haiqiang LIANG Ji ZHOU Fangbin ZHANG Bing Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying Mapping and Remote SensingHunan University of Science and TechnologyXiangtan 411201China School of Geosciences and Info-Physics Central South UniversityChangsha 410083China Hunan International Scientific and Technological Innovation Cooperation Base of Advanced Construction and Maintenance Technology of Highway Changsha University of Science&TechnologyChangsha 410114China School of Geomatics Liaoning Technical UniversityFuxin 123000China

Affected by the insufficient information of single baseline observation data,the three-stage method assumes the Ground-to-Volume Ratio(GVR)to be zero so as to invert the vegetation ***,this assumption introduces much biases into the parameter estimates which greatly limits the accuracy of the vegetation height ***-baseline observation can provide redundant information and is helpful for the inversion of ***,the similar model parameter values in a multi-baseline model often lead to ill-posed problems and reduce the inversion accuracy of conventional *** this end,we propose a new step-by-step inversion method applied to the multi-baseline ***,an adjustment inversion model is constructed by using multi-baseline volume scattering dominant polarization data,and the regularized estimates of model parameters are obtained by regularization ***,the reliable estimates of GVR are determined by the MSE(mean square error)analysis of each regularized parameter ***,the estimated GVR is used to extracts the pure volume coherence,and then the vegetation height parameter is inverted from the pure volume coherence by least squares *** experimental results show that the new method can improve the vegetation height inversion result *** inversion accuracy is improved by 26%with respect to the three-stage method and the conventional solution of *** of these have demonstrated the feasibility and effectiveness of the new method.

关键词： multi-baseline vegetation height GVR PolInSAR ill-posed problem

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维普期刊数据库

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A simple rectification method for linear multi-baseline stereovision system

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Journal of Zhejiang University Science 2004年第5期5卷 567-571页

作者：杜歆李宏东顾伟康 DepartmentofInformationandElectronics ZhejiangUniversityHangzhou310027China DepartmentofInformationandElectronics ZhejiangUniversityHangzhou310027China

The linear multi-baseline stereo system introduced by the CMU-RI group has been proven to be a very effective and robust stereovision system. However, most traditional stereo rectification algorithms are all designed for binocular stereovision system, and so, cannot be applied to a linear multi-baseline system. This paper presents a simple and intuitional method that can simultaneously rectify all the cameras in a linear multi-baseline system. Instead of using the general 8-parameter homography transform, a two-step virtual rotation method is applied for rectification, which results in a more specific transform that has only 3 parameters, and more stability. Experimental results for real stereo images showed the presented method is efficient.

关键词： Rectification multi-baseline Stereovision

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维普期刊数据库

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A multi-baseline Data Fusion Algorithm for Distributed Satellites SAR Interferometry by Combining Iterative and Maximum-Likelihood Methods

A Multi-baseline Data Fusion Algorithm for Distributed Satel...

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2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar（APSAR2009）

作者： Shi Xiaojin Zhang Yunhua Center for Space Science and Applied Research Chinese Academy of Sciences Beijing China

In distributed satellites interferometric SAR（InSAR） system,short baselines usually make higher height ambiguity but the interferometric phase can be unwrapped much more easily,while the long baselines usually cause more complicated phase unwrapping problems but have less height ***’s of obvious significance if we can combine the data from baselines of different *** this paper,a multi-baseline InSAR data fusion method based on iterative and maximum-likelihood methods is proposed to combine the information from different baselines and obtain more accurate digital elevation model（DEM）compared with single *** simulation shows that the proposed algorithm is more effective and accurate than iterative or maximum-likelihood method in multi-baseline InSAR system,and it is especially appropriate for the rugged terrain height retrieving or processing highly ambiguous data,for which commonly used phase unwrapping algorithms may fail.

关键词： InSAR multi-baseline Data Fusion Iterative algorithm Maximum-likelihood algorithm Phase Unwrapping

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