Results 41 to 50 of about 125 (87)

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

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

Spaceborne Staring Spotlight SAR Tomography—A First Demonstration With TerraSAR-X

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
With the objective of exploiting hardware capabilities and preparing the ground for the next-generation X-band synthetic aperture radar (SAR) missions, TerraSAR-X and TanDEM-X are now able to operate in staring spotlight mode, which is characterized by ...
Nan Ge, Fernando Rodriguez Gonzalez, Yuanyuan Wang, Yilei Shi, Xiao Xiang Zhu   +4 more
doaj   +1 more source

A MTInSAR‐Based Early Warning System to Appraise Deformations in Simply Supported Concrete Girder Bridges

Structural Control and Health Monitoring, Volume 2024, Issue 1, 2024.
This paper presents an early warning system to investigate deformations in simply supported concrete girder bridges over time, using the information content provided by satellite data, integrated with other available sources. The safety of the existing bridges is a priority for transportation management companies, which should carry out continuous and ...
Mirko Calò, Sergio Ruggieri, Andrea Nettis, Giuseppina Uva, Zoran Rakicevic   +4 more
wiley   +1 more source

Parameter Selection Criteria for Tomo-SAR Focusing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The synthetic aperture radar (SAR) tomography (TomoSAR) inverse problem is commonly tackled in the context of the direction-of-arrival estimation theory.
Gustavo Daniel Martin-del-Campo-Becerra, Sergio Alejandro Serafin-Garcia, Andreas Reigber, Susana Ortega-Cisneros   +3 more
doaj   +1 more source

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

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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
Rui Guo, Zishuai Ren, Yuxin Gao, Lianhuan Wei, Yuxiao Qin, Gang Xu   +5 more
doaj   +1 more source

A Novel Phase Compensation Method for Urban 3D Reconstruction Using SAR Tomography

Remote Sensing, 2022
Synthetic aperture radar (SAR) tomography (TomoSAR) has been widely used in the three-dimensional (3D) reconstruction of urban areas using the multi-baseline (MB) SAR data.
Hongliang Lu, Jili Sun, Jili Wang, Chunle Wang   +3 more
doaj   +1 more source

Urban Tomographic Imaging Using Polarimetric SAR Data

Remote Sensing, 2019
In this paper, we investigate the potential of polarimetric Synthetic Aperture Radar (SAR) tomography (Pol-TomoSAR) in urban applications. TomoSAR exploits the amplitude and phase of the received data and offers the possibility to resolve multiple ...
Alessandra Budillon, Angel Caroline Johnsy, Gilda Schirinzi   +2 more
doaj   +1 more source

An Improved Sparse Bayesian Learning SAR Tomography Method and its Application for Forest Vertical Structure Inversion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Synthetic aperture radar tomography (TomoSAR) is widely used in reconstructing forest vertical structure, but accurately locating both ground and canopy scatterers in dense forest areas remains challenging.
Jie Wan, Changcheng Wang, Peng Shen, Yonghui Wei   +3 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