Results 41 to 50 of about 262 (135)

SAR Tomography Based on Atomic Norm Minimization in Urban Areas

Remote Sensing, 2022
Synthetic aperture radar (SAR) tomography (TomoSAR) is a powerful tool for the three-dimensional (3D) reconstruction of buildings in urban areas. At present, the compressed sensing (CS) technique has been widely used in the TomoSAR inversion of urban ...
Ning Liu, Xinwu Li, Xing Peng, Wen Hong
doaj   +1 more source

TerraSAR‐X StripMap Data Interpretation of Complex Urban Scenarios with 3D SAR Tomography

Journal of Sensors, Volume 2014, Issue 1, 2014., 2014
The severe layover problem of complex urban scenarios in SAR data makes SAR data interpretation very difficult, especially for nonexperts. In this paper, we use 3D SAR tomography for SAR data interpretation of dense urban areas. An efficient and robust approach named Butterworth‐filter based singular value decomposition (BSVD) is used for tomographic ...
Lianhuan Wei, Timo Balz, Mingsheng Liao, Lu Zhang, Gyuhae Park   +4 more
wiley   +1 more source

Sparse Scenario Imaging for Active Radar in the Forward‐Looking Direction

Mathematical Problems in Engineering, Volume 2014, Issue 1, 2014., 2014
The resolution of multiple targets at the same range cell but different angles in the forward‐looking direction is of great trouble for active radar. Based on compressive sensing (CS) framework, a sparse scenario imaging approach using joint angle‐Doppler representation basis is proposed, which employs multisensor and single‐receiver channel hardware ...
Jun Wang, Fenggang Yan, Yinan Zhao, Xiaolin Qiao, Caner Özdemir   +4 more
wiley   +1 more source

A review of SAR tomography

Geo-spatial Information Science
Synthetic Aperture Radar (SAR) Tomography (TomoSAR) is an active microwave-based three-dimensional (3D) imaging technique that can provide large-scale, penetrative, high-resolution, all-time, and all-weather observations, making it essential for ...
Xin Zhao, Jie Dong, Yanghai Yu, Mingsheng Liao, Lu Zhang, Jianya Gong   +5 more
doaj   +1 more source

A Risk Monitoring Method for Urban Buildings Based on Structural Differential Settlement Index Using InSAR Technology

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
In urban areas with high population density and significant economic assets, both above‐ground and underground developments exert considerable influence on the safety of existing multistory and high‐rise buildings constructed in earlier periods, and a number of these aging buildings are facing increasingly severe safety risks with the extension of ...
Songxuan Li, Zhongqi Shi, Mengxiong Tang, Yonghui Xing, Yuzhou Liu, Wenxi Cao, Łukasz Jankowski   +6 more
wiley   +1 more source

Facade Reconstruction Using Multiview Spaceborne TomoSAR Point Clouds [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2014
Recent advances in very high resolution tomographic synthetic aperture radar inversion (TomoSAR) using multiple data stacks from different viewing angles enables us to generate 4-D (space-time) point clouds of the illuminated area from space with a point density comparable to LiDAR. They can be potentially used for facade reconstruction and deformation
Xiaoxiang Zhu 0001, Muhammad Shahzad 0002   +1 more
openaire   +2 more sources

TomoSAR 3D reconstruction: Cascading adversarial strategy with sparse observation trajectory

IET Computer Vision, Volume 19, Issue 1, January/December 2025.
The study introduces a novel cascading adversarial strategy in TomoSAR 3D reconstruction, optimising the process with a Conditional Generative Adversarial Network (CGAN) tailored for sparse observation trajectories. By integrating U‐Net for global context capture and ResNet34 for advanced feature extraction, the approach significantly enhances detail ...
Xian Zhu, Xiaoqin Zeng, Yuhua Cong, Yanhao Huang, Ziyan Zhu, Yantao Luo   +5 more
wiley   +1 more source

Tomographic SAR imaging via generative adversarial neural network with cascaded U‐Net architecture

Electronics Letters, Volume 60, Issue 17, September 2024.
This paper proposes a novel method based on deep learning, which is carried out and optimized in an end‐to‐end manner by the generative adversarial neural networks. The proposed method applies the cascaded U‐Net architectures to achieve the reconstruction of full‐channel synthetic aperture radar images and the refinement of obtained tomographic results,
Jie Li, Kun Wang, Zhiyuan Li, Bingchen Zhang, Yirong Wu   +4 more
wiley   +1 more source

Building point cloud reconstruction in TomoSAR based on deep learning semantic segmentation

Electronics Letters, Volume 60, Issue 12, June 2024.
In this letter, we propose an SAR building point cloud reconstruction method based on deep learning point cloud segmentation. Leveraging the end‐to‐end processing advantage of deep learning, this method achieves automated and efficient detection of building point clouds.
Minan Shi, Longyong Chen, Fubo Zhang, Wenjie Li, Chenghao Cui, Yuling Liu   +5 more
wiley   +1 more source

TomoSAR from Theory to Practice – Overview of the Advancements and Challenges

IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium
Synthetic Aperture Radar Tomography (TomoSAR) is a transformative technique for multi-dimensional imaging, enabling detailed analysis of complex environments. This paper provides an overview of TomoSAR, exploring its technological advancements and the practical challenges.
Aghababaei, Hossein, Ferraioli, Giampaolo   +1 more
openaire   +2 more sources