摘要
合成孔径雷达(Synthetic Aperture Radar,SAR)三维成像技术具备高度维的分辨能力,能够有效解决目标和地形在二维图像上产生的混叠现象。当前SAR三维成像存在数据获取周期长、成本高,且容易产生异常点等问题。本文针对建筑物目标,利用光学图像丰富的色彩信息和纹理信息,从光学图像中提取目标的几何结构,并将其作为先验条件对SAR的三维成像进行约束。并通过实测数据进行验证,结果表明该方法可显著抑制三维重建中的异常点,重建结果可以更好地反映建筑物的几何结构。
Synthetic Aperture Radar(SAR)three-dimensional imaging technology possesses high-dimensional resolution capability,which can effectively mitigate the stacking effects caused by targets and terrain in two-dimensional images.Currently,there are some problems in SAR 3D imaging,such as long data acquisition cycle,high cost,and the easy generation of abnormal points.This paper focuses on building targets,utilizing the rich color and texture information from optical images to extract the geometric structure of the target,which is then used as a priori information to constrain the SAR three-dimensional imaging process.Verification with experimental data demonstrates that this method significantly suppresses abnormal points in the 3D reconstruction,and the reconstructed results better reflect the geometric structure of the buildings.
作者
张月皎
Zhang Yuejiao(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,China;National Key Laboratory of Microwave Imaging,Beijing,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing,China)
出处
《科学技术创新》
2025年第18期60-63,共4页
Scientific and Technological Innovation
关键词
几何结构提取
几何约束
SAR三维成像
geometric structure extraction
geometric constraints
SAR 3D imaging
