重复通过空间-地表双稳态合成孔径雷达断层成像:精确成像和首次实验

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zhiyang Chen, Yuanhao Li, Cheng Hu, Shenglei Wang, Xinpeng Chen, Mihai Datcu, Andrea Virgilio Monti-Guarnieri
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引用次数: 0

摘要

空间-表面双稳态合成孔径雷达(SS-BiSAR)为单稳态星载合成孔径雷达提供了一个额外的观测角度,使其成为一种在局部地区进行高精度形变检索的有前途的技术。重复通过 SS-BiSAR 层析成像技术可精确估算建筑物和陡峭区域的表面,在形变检索过程中有效消除地形相位。然而,轨道星历的不准确会导致图像几何畸变,降低图像对的一致性,引入干涉相位误差,从而降低层析成像精度。本文对重复星历误差造成的图像几何畸变和干涉相位误差进行了精确建模。我们提出了一种基于 chirp-Z 变换的星历校正方法来解决这些问题。此外,我们还引入了精确的层析成像模型,以提高三维重建精度。我们利用中国 "路坦一号 "卫星进行的首次 SS-BiSAR 层析成像实验表明,经过星历误差校正后,相关系数提高了 0.16。此外,层析点云的密度和精度分别提高了 13.7% 和 12.1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Repeat-pass space-surface bistatic SAR tomography: accurate imaging and first experiment

Space-surface bistatic synthetic aperture radar (SS-BiSAR) offers an additional observation angle for monostatic spaceborne SAR, making it a promising technology for high-accuracy deformation retrieval technology in local regions. Repeat-pass SS-BiSAR tomography can accurately estimate the surfaces of buildings and steep areas, effectively removing terrain phases during deformation retrieving. However, inaccuracies in the orbital ephemeris can lead to image geometry distortion, reducing image pair coherence, introducing interferometric phase errors, and consequently deteriorating tomographic precision. This paper precisely models the image geometry distortion and interferometric phase error caused by repeat-pass ephemeris error. We propose an ephemeris correction method based on the chirp-Z transform to address these issues. Furthermore, we introduce an accurate tomography model to improve 3D reconstruction accuracy. Our first SS-BiSAR tomography experiment, conducted using the Chinese Lutan-1 satellite, demonstrates that the correlation coefficient is improved by 0.16 after ephemeris error correction. Moreover, the density and precision of the tomographic point cloud are improved by 13.7% and 12.1%, respectively.

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来源期刊
Science China Information Sciences
Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
12.60
自引率
5.70%
发文量
224
审稿时长
8.3 months
期刊介绍: Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.
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