Array 3-D SAR Tomography Using Robust Gridless Compressed Sensing

Zhang, Bangjie; Xu, Gang; Yu, Hanwen; Wang, Hui; Pei, Hao; Wang, Hong

doi:10.1109/tgrs.2023.3259980

Cited by 14 publications

(5 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent publications showcase the ongoing advancements in SAR technology and methodologies, particularly in SAR tomography, elevation modeling, and the integration of deep learning techniques for improved analysis of SAR data [141][142][143][144][145][146].…”

Section: Sar Data Sharing and Open Access Initiativesmentioning

confidence: 99%

SAR Features and Techniques for Urban Planning—A Review

Koukiou

2024

Remote Sensing

View full text Add to dashboard Cite

Urban planning has, in recent years, been significantly assisted by remote sensing data. The data and techniques that are used are very diverse and are available to government agencies as well as to private companies that are involved in planning urban and peri-urban areas. Synthetic aperture radar data are particularly important since they provide information on the geometric and electrical characteristics of ground objects and, at the same time, are unaffected by sunlight (day–night) and cloud cover. SAR data are usually combined with optical data (fusion) in order to increase the reliability of the terrain information. Most of the existing relative classification methods have been reviewed. New techniques that have been developed use decorrelation and interferometry to record changes on the Earth’s surface. Texture-based features, such as Markov random fields and co-occurrence matrices, are employed, among others, for terrain classification. Furthermore, target geometrical features are used for the same purpose. Among the innovative works presented in this manuscript are those dealing with tomographic SAR imaging for creating digital elevation models in urban areas. Finally, tomographic techniques and digital elevation models can render three-dimensional representations for a much better understanding of the urban region. The above-mentioned sources of information are integrated into geographic information systems, making them more intelligent. In this work, most of the previous techniques and methods are reviewed, and selected papers are highlighted in order for the reader-researcher to have a complete picture of the use of SAR in urban planning.

show abstract

Section: Sar Data Sharing and Open Access Initiativesmentioning

confidence: 99%

SAR Features and Techniques for Urban Planning—A Review

Koukiou

2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…The backscattered signals are related to the vertical reflectivity profile, F knn (s n , r ), which is the counterpart of γ(s) in [39] and σ(x, γ) in [19]. The focusing function proposed in this work is the counterpart of the point spread function or delta function in conventional TomoSAR imaging methods.…”

Section: Covariance Of Deramped Imagesmentioning

confidence: 99%

High-Resolution L-Band TomoSAR Imaging on Forest Canopies with UAV Swarm to Detect Dielectric Constant Anomaly

Chuang,

Kiang

2023

Sensors

View full text Add to dashboard Cite

A rigorous TomoSAR imaging procedure is proposed to acquire high-resolution L-band images of a forest in a local area of interest. A focusing function is derived to relate the backscattered signals to the reflectivity function of the forest canopies without resorting to calibration. A forest voxel model is compiled to simulate different tree species, with the dielectric constant modeled with the Maxwell-Garnett mixing formula. Five different inverse methods are applied on two forest scenarios under three signal-to-noise ratios in the simulations to validate the efficacy of the proposed procedure. The dielectric-constant profile of trees can be used to monitor the moisture content of the forest. The use of a swarm of unmanned aerial vehicles (UAVs) is feasible to carry out TomoSAR imaging over a specific area to pinpoint potential spots of wildfire hazards.

show abstract

“…The authors of [23] proposed a distributed SAR high-resolution wideband (HRWS) 3D imaging method in 2023, which overcame the limitation of traditional single-satellite antennas by using 14channel number SAR data. Zhang and others proposed a new robust Gridless CS (RGLCS) algorithm in 2023, which used multiple antenna phase centers (APCs) to acquire data from different viewing angles and provided a demonstration of urban mapping [24].…”

Section: Introductionmentioning

confidence: 99%

Innovative Rotating SAR Mode for 3D Imaging of Buildings

Lin,

Wang,

Wang

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

Three-dimensional SAR imaging of urban buildings is currently a hotspot in the research area of remote sensing. Synthetic Aperture Radar (SAR) offers all-time, all-weather, high-resolution capacity, and is an important tool for the monitoring of building health. Buildings have geometric distortion in conventional 2D SAR images, which brings great difficulties to the interpretation of SAR images. This paper proposes a novel Rotating SAR (RSAR) mode, which acquires 3D information of buildings from two different angles in a single rotation. This new RSAR mode takes the center of a straight track as its rotation center, and obtains images of the same facade of a building from two different angles. By utilizing the differences in geometric distortion of buildings in the image pair, the 3D structure of the building is reconstructed. Compared to the existing tomographic SAR or circular SAR, this method does not require multiple flights in different elevations or observations from varying aspect angles, and greatly simplifies data acquisition. Furthermore, both simulation analysis and actual data experiment have verified the effectiveness of the proposed method.

show abstract

Array 3-D SAR Tomography Using Robust Gridless Compressed Sensing

Cited by 14 publications

References 39 publications

SAR Features and Techniques for Urban Planning—A Review

SAR Features and Techniques for Urban Planning—A Review

High-Resolution L-Band TomoSAR Imaging on Forest Canopies with UAV Swarm to Detect Dielectric Constant Anomaly

Innovative Rotating SAR Mode for 3D Imaging of Buildings

Contact Info

Product

Resources

About