Improvement for UAV Urban SAR Tomography Based on Cylindrical Wave Model With Elevation Constraints

IF 4.7 2区地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2025-04-23 DOI:10.1109/JSTARS.2025.3563718

Rui Guo;Zishuai Ren;Yuxin Gao;Lianhuan Wei;Yuxiao Qin;Gang Xu

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引用次数: 0

Abstract

Synthetic aperture radar (SAR) tomography (TomoSAR) technology can solve the layover problem in SAR images and achieve three-dimensional (3D) imaging. Unmanned aerial vehicle (UAV) TomoSAR has developed rapidly in the field of urban surveying and mapping in recent years due to its advantages of flexible deployment, low cost, and ease of large-scale application. However, the low flight altitude of UAVs and the need to reduce the number of observations pose challenges to the classical TomoSAR imaging model based on plane wave geometry. To improve the 3D imaging quality of UAV TomoSAR in urban areas, this article proposes a 3D imaging method based on a cylindrical wave geometry model with refined elevation constraints. This method reconstructs the 3D imaging model to conform to the near-field principle. Meanwhile, the constraint range of the elevation solution space is determined through the proposed layover area labeling under the cylindrical wave model. The experiments with simulation and real data show that the proposed method can accurately recover building structures and exhibits commendable performance in deformation correction and ambiguity suppression.

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基于高程约束柱波模型的无人机城市SAR层析成像改进

合成孔径雷达（SAR）层析成像技术（TomoSAR）可以解决SAR图像中的滞留问题，实现三维成像。近年来，无人机（UAV） TomoSAR以其部署灵活、成本低廉、易于大规模应用等优点，在城市测绘领域得到了迅速发展。然而，无人机的低飞行高度和减少观测次数的需要对基于平面波几何的经典TomoSAR成像模型提出了挑战。为了提高无人机TomoSAR在城市地区的三维成像质量，本文提出了一种基于精细高程约束的柱面波几何模型的三维成像方法。该方法重建了符合近场原理的三维成像模型。同时，通过提出的柱面波模型下的过境区域标注，确定了高程解空间的约束范围。仿真和实际数据实验表明，该方法能够准确地恢复建筑物结构，并具有良好的变形校正和模糊抑制性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 地学-成像科学与照相技术

CiteScore

9.30

自引率

10.90%

发文量

563

审稿时长

4.7 months

期刊介绍： The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.