|Table of Contents|

Multi-baseline InSAR elevation inversion method based on rigorous model

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2014年06期
Page:
726-
Research Field:
Publishing date:

Info

Title:
Multi-baseline InSAR elevation inversion method based on rigorous model
Author(s):
Hua Fenfen12Zhang Jixian2Huang Guoman2Wang Mengmeng2
1.School of Environmental Science and Spatial Informatics,China University of Mining and Technology, Xuzhou 221116,China; 2.Chinese Academy of Surveying and Mapping,Beijing 100830,China
Keywords:
rigorous model multi-baseline interferometry synthetic aperture radar elevation inversion method three-dimensional reconstruction model airborne data experiments spaceborne data experiments
PACS:
P231
DOI:
-
Abstract:
In order to solve the problems that the existing multi-baseline interferometric synthetic aperture radar(InSAR)elevation inversion methods are mostly based on simplified models and have low accuracy and large calculation,a new multi-baseline InSAR elevation inversion method is proposed here.This method introduces a three-dimensional reconstruction model with rigorous geometric relationship and uses the number of integral periods of interferometric phases as a parameter to solve the three-dimensional(3D)coordinates of the target iteratively.By adopting the 3D coordinate information of targets to connect different interferometric data,the method proposed here weakens the effects of system errors on solving the number of integral periods obviously and is more reliable than conventional multi-baseline InSAR elevation inversion methods.The airborne data experiment results show that:for calibrated data,the accuracy of the method proposed here is the same as that of the maximum likelihood height estimation(MLHE)method; for initial data,the accuracy of the method proposed here is better than that of the MLHE method; the data processing time of the MLHE method is 6-7 times as long as that of the method proposed here.The spaceborne data experimental results show that,the MLHE method takes 351 seconds and the method proposed here takes 14 seconds.

References:

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Last Update: 2014-12-31