Results 31 to 40 of about 131 (85)

Exploiting SAR visual semantics in TomoSAR for 3D modeling of buildings

National Science Open
Recently a new paradigm is emerging in synthetic aperture radar (SAR) three-dimensional (3D) imaging technology where the imaging performance is enhanced by exploiting SAR visual semantics.
Wang Wei, Wang Haixia, Yu Liankun, Dong Qiulei, Hu Zhanyi   +4 more
doaj   +1 more source

Three-dimensional Imaging of Tomographic SAR Based on Adaptive Elevation Constraint

Leida xuebao, 2023
Synthetic Aperture Radar Tomography (TomoSAR) has emerged as a hot research topic in the field of SAR imaging, particularly for three-dimensional (3D) urban imaging in recent years.
Zishuai REN, Zhao ZHANG, Yuxin GAO, Rui GUO   +3 more
doaj   +1 more source

Potential of texture from SAR tomographic images for forest aboveground biomass estimation

International Journal of Applied Earth Observations and Geoinformation, 2020
Synthetic Aperture Radar (SAR) texture has been demonstrated to have the potential to improve forest biomass estimation using backscatter. However, forests are 3D objects with a vertical structure.
Zhanmang Liao, Binbin He, Xingwen Quan
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

Baseline Optimization for Spatial-Temporal Coupling in Geosynchronous Differential Synthetic Aperture Radar Tomography

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Differential synthetic aperture radar tomography (D-TomoSAR) uses multiple SAR acquisitions at different times to form an elevation-time 2-D synthetic aperture, enabling recovery of the target's 3-D structure and deformation velocity. However, the
Xichao Dong, Yan Liu, Zhiyang Chen, Xinyan Chen, Yuanhao Li, Cheng Hu, Feifeng Liu   +6 more
doaj   +1 more source

Minimum Redundancy Array—A Baseline Optimization Strategy for Urban SAR Tomography

Remote Sensing, 2020
Synthetic aperture radar (SAR) tomography (TomoSAR) is able to separate multiple scatterers layovered inside the same resolution cell in high-resolution SAR images of urban scenarios, usually with a large number of orbits, making it an expensive and ...
Lianhuan Wei, Qiuyue Feng, Shanjun Liu, Christian Bignami, Cristiano Tolomei, Dong Zhao   +5 more
doaj   +1 more source

Performance Improvement for SAR Tomography Based on Local Plane Model

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Multilook approaches have been applied in synthetic aperture radar (SAR) tomography (TomoSAR), for improving the density and regularity of persistent scatterers reconstructed from multipass SAR images in both rural and urban regions. Multilook operations
Wenkang Liu, Alessandra Budillon, Vito Pascazio, Gilda Schirinzi, Mengdao Xing   +4 more
doaj   +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, 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

SAR Tomography Based on Block Compressive Sensing

Leida xuebao, 2016
While the use of SAR Tomography (TomoSAR) based on Compressive Sensing (CS) makes it possible to reconstruct the height profile of an observed scene, the performance of the reconstruction decreases for a structural observed scene. To deal with this issue,
Wang Aichun, Xiang Maosheng
doaj   +1 more source