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高分七号卫星立体影像精细三维重建 被引量:1

Fine 3D reconstruction methods with Gaofen-7 satellite stereo images
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摘要 为了实现高分七号卫星亚米级影像的高精度精细三维重建,针对高分七号卫星前后视线阵相机的成像特点,围绕影像的定向、影像畸变消除、密集匹配方法优化等方面,提出一套完整的精细三维重建方法和流程。利用影像间连接点几何约束关系对有理函数模型进行了二次定向消除系统误差;其次采用一种基于物方投影面的水平纠正方法对原始影像进行纠正,消除了立体像对之间大的倾斜误差;在密集匹配阶段,将全球公开数字高程模型(Digital Elevation Model,DEM)数据作为视差约束,同时引入顾及影像灰度和特征信息的AD-Census作为匹配测度,有效削弱重复纹理引起的匹配错误问题,提升了数字表面模型(Digital Surface Model,DSM)的质量。利用覆盖我国宁夏和新疆某地的两组高分七号的立体影像进行了试验,结果表明本文所提出方法可将相对误差精度由平差前的0.847 pixel和0.725 pixel分别提升到平差后的0.652 pixel和0.593 pixel,相对误差精度最大可提高23.02%,基于物方投影面的水平纠正方法能够显著消除大倾角差异带来的几何畸变,对高分七号卫星影像取得了较好质量的DSM产品,尤其是对于小尺度密集建筑物区域的重复纹理取得了较好的效果。 To achieve high-precision and fine 3D reconstruction with the Gaofen-7 satellite sub-meter-level images,this paper proposes a method that focuses on the relative error correction of stereo pairs,image horizontal plane correction,and semi-global matching optimization,forming a fine 3D reconstruction pipe⁃line.First,concerning the relative error in the orientation model of Gaofen-7 stereo images,the geometric constraint relationship of the connection point among images is used to eliminate the systematic error of the rational function model.Second,a horizontal correction method based on the projection plane of the object is used to correct the original image;this eliminates the large inclination error difference between stereo im⁃ages and provides a better data basis for subsequent processes.In the dense matching stage,global public⁃ly available digital elevation model(DEM)data are used as the disparity constraint.AD-Census,which consider both the grayscale and feature information of the image,is employed as the matching cost metric,addressing the matching error problem caused by repeated texture and improving the digital surface model(DSM)production.The results of experiments conducted using Gaofen-7stereo images covering areas in Ningxia and Xinjiang indicate that the proposed method can improve the relative error accuracy from 0.847 and 0.725 pixels to 0.652 and 0.593 pixels,respectively,representing up to 23.02%improvement.The horizontal correction method based on the projection plane of the object can significantly eliminate the geo⁃metric distortion caused by the difference in large inclination angle,and good-quality DSM products can be obtained,especially for the repetitive texture of small-scale dense building areas.
作者 巩丹超 刘松林 韩轶龙 张威 GONG Danchao;LIU Songlin;HAN Yilong;ZHANG Wei(State Key Laboratory of Geo-information Engineering,Xi'an 710054,China;Xi'an Research Institute of Surveying and Mapping,Xi'an 710054,China;College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao 266590,China;Research Center of Engineering and Technology for"3S"-GPS,RS and GIS,Shandong University of Science and Technology,Qingdao 266590,China)
出处 《光学精密工程》 EI CAS CSCD 北大核心 2023年第14期2147-2159,共13页 Optics and Precision Engineering
基金 山东省自然科学基金资助项目(No.ZR2022QD141) 国家自然科学基金资助项目(No.62101395,No.42271273,No.42201278)。
关键词 三维重建 有理函数模型 影像纠正 影像匹配 半全局匹配 3D reconstruction Rational Function Model(RFM) image correction image matching semi-global matching
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