Results 31 to 40 of about 125 (87)
Urban SAR Tomography With
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSynthetic aperture radar tomography (TomoSAR) technology effectively mitigates issues such as severe layover in high-resolution synthetic aperture radar (SAR) urban imagery, presenting numerous applications in reconstructing complex 3-D urban scenes ...
Rui Guo +5 more
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P-Band UAV-SAR 4D Imaging: A Multi-Master Differential SAR Tomography Approach
Remote Sensing, 2023 Due to its rapid deployment, high-flexibility, and high-accuracy advantages, the unmanned-aerial-vehicle (UAV)-based differential synthetic aperture radar (SAR) tomography (D-TomoSAR) technique presents an attractive approach for urban risk monitoring ...
Zhen Wang +7 more
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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 +4 more
wiley +1 more source
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
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Deep SAR Tomography: A Model-Inspired Approach With Learned Sparse Regularizer
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSynthetic aperture radar tomography (TomoSAR) can acquire high resolution in height direction by forming a large synthetic aperture along the tomographic direction. Compressed sensing (CS) is widely utilized in TomoSAR imaging to reduce the costs of data
Rong Shen +6 more
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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 +6 more
wiley +1 more source
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 +5 more
wiley +1 more source
Remote Monitoring of Civil Infrastructure Based on TomoSAR
Infrastructures, 2022 Structural health monitoring and damage detection tools are extremely important topics nowadays with the civil infrastructure aging and deteriorating problems observed in urban areas.
Alessandra Budillon, Gilda Schirinzi
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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 +4 more
wiley +1 more source
Leida xuebaoA single Synthetic Aperture Radar (SAR) image can capture only two-dimensional information, and traditional multitemporal Interferometric SAR (InSAR) techniques struggle with the layover problem, particularly in urban areas.
Youjun WANG +8 more
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