首页 | 官方网站   微博 | 高级检索  
     

利用三维重建模型的机载InSAR区域网平差方法
引用本文:陈乾福,黄国满,杨书成,花奋奋,卢丽君.利用三维重建模型的机载InSAR区域网平差方法[J].武汉大学学报(信息科学版),2017,42(2):157-162.
作者姓名:陈乾福  黄国满  杨书成  花奋奋  卢丽君
作者单位:1.国家测绘地理信息局卫星测绘应用中心, 北京, 100830
基金项目:测绘地理信息公益性行业科研专项经费No. 201512022国家高技术研究发展计划(863计划)No. 2011AA120402国家基础测绘科技计划No.2016KJ0204
摘    要:在机载合成孔径雷达干涉测量(synthetic aperture radar interferometry,InSAR)中,为了获取高精度的数字高程模型(digital elevation model,DEM),研究了机载InSAR视向量正交分解法及三维重建数学模型,分析了中国的机载CASMSAR(synthetic aperture radar system of Chinese Academy of Surveying and Mapping)干涉系统误差来源及观测参数,建立了机载InSAR区域网平差模型。利用国产机载CASMSAR系统获取的X波段干涉数据进行试验,利用高精度的控制点数据进行平差解算,结果表明本文方法能够消除干涉模型间平面和高程差异,DEM成果满足1:1万山地测图精度要求,验证了该模型的正确性和有效性。

关 键 词:机载InSAR    干涉参数定标    三维重建模型    视向量正交分解    敏感度方程    区域网平差
收稿时间:2015-12-14

A Method for Block Adjustment with Airborne InSAR by Aid of Three Dimensional Reconstruction Model
Affiliation:1.Satellite Surveying and Mapping Application Center, NASG, Beijing 100830, China2.Chinese Academy of Surveying and Mapping, Beijing 100830, China
Abstract:In order to improve the accuracy of DEM (digital elevation model) acquired by airborne InSAR (synthetic aperture radar interferometry), we researched the orthogonal decomposition of visual vector model and three dimensional reconstruction model for airborne InSAR. Error sources and adjustment parameters of domestic airborne InSAR system of CASMSAR (synthetic aperture radar system of Chinese Academy of Surveying and Mapping) were analyzed. A block adjustment method was proposed for airborne InSAR which could be used to derive DEM. An Experiment was carried out with X-band interferometric data acquired by CASMSAR. And we used ground control points to correct this error model. The results show that the proposed algorithm could be used to eliminate the differences in plane and height among multi-strip in the overlapping area. Finally, the results met the requirements of topographic mapping at a scale of 1:10 000, and proved the correctness and effectiveness of the new algorithm with CASMSAR data.
Keywords:
本文献已被 CNKI 等数据库收录!
点击此处可从《武汉大学学报(信息科学版)》浏览原始摘要信息
点击此处可从《武汉大学学报(信息科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号