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机载干涉雷达数据联合定位及拼接技术研究
引用本文:马婧,尤红建,胡东辉.机载干涉雷达数据联合定位及拼接技术研究[J].武汉大学学报(信息科学版),2012,37(4):410-414.
作者姓名:马婧  尤红建  胡东辉
作者单位:1. 中国科学院电子学研究所,北京市北四环西路19号,100190/中国科学院空间信息处理与应用系统技术重点实验室,北京市北四环西路19号,100190/中国科学院研究生院,北京市玉泉路甲19号,100049
2. 中国科学院电子学研究所,北京市北四环西路19号,100190/中国科学院空间信息处理与应用系统技术重点实验室,北京市北四环西路19号,100190
基金项目:国家863计划资助项目,国家自然科学基金资助项目
摘    要:针对大区域多航带InSAR(干涉合成孔径雷达)影像定位及拼接时缺少GCP(地面控制点)的问题,提出了一种多航带InSAR影像联合定位的方法。该方法借鉴摄影测量中的光束法平差思想,并利用InSAR干涉定标后得到影像上各点高程值。通过对四川绵阳地区的多航带InSAR实际数据的实验,验证了本方法的可行性,且精度达到了各景影像独立校正的水平。分析了控制点数量、位置、重叠区域范围、地形起伏对平差精度的影响,并给出了控制点布放原则。

关 键 词:机载InSAR  区域网平差  定位精度  图像拼接

Research on Union Localization and Mosaic Technology of InSAR Data
MA Jing,YOU Hongjian,HU Donghui.Research on Union Localization and Mosaic Technology of InSAR Data[J].Geomatics and Information Science of Wuhan University,2012,37(4):410-414.
Authors:MA Jing  YOU Hongjian  HU Donghui
Institution:1,2(1 Institute of Electronics,CAS,19 North 4th Ring Road West,Beijing 100190,China)(2 Key Laboratory of Technology in Geo-spatial Information Processing and Application System, CAS,19 North 4th Ring Road West,Beijing 100190,China)(3 Graduate University of Chinese Academy of Sciences,A19 Yuquan Road,Beijing 100049,China)
Abstract:In order to solve the problem of lacking GCPs(ground control points) during the process of multi-strip InSAR(Interferometric Synthetic Aperture Radar) images localization and mosaic,a union localization method is proposed in this paper.This method makes the use of the bundle block adjustment principle in photogrammetry,and uses the height of every point after interferometric calibration.The experimental result of multi-strip InSAR images in Sichuan province shows that this method is feasible,and the precision reaches the same level of the traditional method of correcting each image respectively.Then the influence factors on block adjustment accuracy are analyzed,these factors include the number of GCPs,the position of GCPs,the degree of overlap area and the terrain.At last,the basic principle of distribution plan of GCPs is given.
Keywords:airborne InSAR  block adjustment  localization precision  image mosaic
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