Results 11 to 20 of about 125 (87)
A novel TomoSAR imaging method with few observations based on nested array
IET Radar, Sonar & Navigation, 2023 Synthetic aperture radar tomography (TomoSAR) baseline optimization method is capable of reducing system complexity and improving the temporal coherence of data, which has become important research in the field of TomoSAR.
Pengyu Jiang +3 more
doaj +2 more sources
A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift. [PDF]
Int J Biomed Imaging, 2016 Aim. It can help improve the hospital throughput to accelerate magnetic resonance imaging (MRI) scanning. Patients will benefit from less waiting time. Task. In the last decade, various rapid MRI techniques on the basis of compressed sensing (CS) were proposed. However, both computation time and reconstruction quality of traditional CS‐MRI did not meet
Zhang Y, Yang J, Yang J, Liu A, Sun P.
europepmc +2 more sources
Building 3D reconstruction of TomoSAR using multiple bounce scattering model
Electronics Letters, Volume 58, Issue 12, Page 486-488, June 2022., 2022 Abstract Tomographic synthetic aperture radar (TomoSAR) plays a critical role in the 3D reconstruction of complex urban targets with the capability of 3D imaging. Nevertheless, multipath scattering interference is common in 3D point clouds, seriously affecting the structure of the 3D model.
Fubo Zhang +3 more
wiley +1 more source
Journal of Sensors, Volume 2021, Issue 1, 2021., 2021 Downward‐looking linear array synthetic aperture radar (DLLA SAR) is a kind of three‐dimensional (3‐D) radar imaging system. To obtain the superresolution along the crosstrack direction of DLLA SAR, the sparse regularization models with single measurement vector (SMV) have been widely applied. However, the robustness of the sparse regularization models
Le Kang +5 more
wiley +1 more source
URBAN 3D RECONSTRUCTION OF VHR SAR IMAGES USING ITERATIVE OPTIMIZATION ALGORITHM AND LAYOVER FIXED-ORDER MODEL [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Synthetic Aperture Radar (SAR) Tomography (TomoSAR) is a three-dimensional SAR imaging technique that uses multiple passes to process complex SAR images and obtain three-dimensional spatial scattering information to derive the elevation scattering ...
C. H. Zhang, L. Pang, D. Y. Liu
doaj +1 more source
Statistical Regularization for TomoSAR Imaging With Multiple Polarimetric Observations
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 The polarimetric versions of focusing techniques for synthetic aperture radar (SAR) tomography (TomoSAR), apart from estimating the pseudopower and retrieving the height of reflectors from the recovered local maxima, allow extracting the associated ...
Gustavo Daniel Martin-del-Campo-Becerra +4 more
doaj +1 more source
High-resolution High-dimensional Imaging of Urban Building Based on GaoFen-3 SAR Data
Leida xuebao, 2022 Conventional Synthetic Aperture Radar (SAR) can only obtain two-dimensional (2-D) azimuth-range images without accurately reflecting the three-Dimensional (3-D) scattering structure information of the targets. However, SAR Tomography (TomoSAR) is a multi-
Hui BI +5 more
doaj +1 more source
Remote Sensing, 2019 This Special Issue hosts papers related to deformation monitoring in urban areas based on two main techniques: Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR).
Alessandra Budillon +2 more
doaj +1 more source
Remote Sensing, 2018 Synthetic aperture radar (SAR) tomography (TomoSAR) estimates scene reflectivity along elevation coordinates, based on multi-baseline measurements. Common TomoSAR approaches are based on every single range-azimuth cell or the cell’s neighborhood.
Lei Liang +5 more
doaj +1 more source
UAVSAR Tomography for Vertical Profile Generation of Tropical Forest of Mondah National Park, Gabon
Earth and Space Science, Volume 7, Issue 10, October 2020., 2020 Abstract Polarimetric synthetic‐aperture radar (SAR) remote sensing has been widely used for structural and biophysical parameters retrieval of forest vegetation. It has been found that the combination of polarimetric properties and interferometric characteristics of SAR remote sensing provides the capacity to retrieve forest height.
Udit Asopa, Shashi Kumar
wiley +1 more source