RECONSTRUCTION OF BUILDING FOOTPRINTS USING SPACEBORNE TOMOSAR POINT CLOUDS [PDF]
Abstract. This paper presents an approach that automatically (but parametrically) reconstructs 2-D/3-D building footprints using 3-D synthetic aperture radar (SAR) tomography (TomoSAR) point clouds. These point clouds are generated by processing SAR image stacks via SAR tomographic inversion.
Muhammad Shahzad, Xiao Xiang Zhu
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TomoSAR 3D reconstruction: Cascading adversarial strategy with sparse observation trajectory [PDF]
Synthetic aperture radar tomography (TomoSAR) has shown significant potential for the 3D Reconstruction of buildings, especially in critical areas such as topographic mapping, urban planning, and disaster monitoring.
Xian Zhu +5 more
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A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift. [PDF]
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
Exploiting SAR visual semantics in TomoSAR for 3D modeling of buildings
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 +4 more
doaj +2 more sources
Remote Monitoring of Civil Infrastructure Based on TomoSAR [PDF]
Structural health monitoring and damage detection tools are extremely important topics nowadays with the civil infrastructure aging and deteriorating problems observed in urban areas. These tasks can be done by visual inspection and by using traditional in situ methods, such as leveling or using traditional mechanical and electrical sensors, but these ...
Alessandra Budillon, Gilda Schirinzi
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Advancing Forest Structure Retrieval through Multi-Frequency PolInSAR and TomoSAR: Leveraging ESA’s P-Band Biomass and NASA–ISRO NISAR Missions [PDF]
. Accurate estimation of forest structural parameters, particularly canopy height and aboveground biomass (AGB), is essential for carbon accounting, biodiversity conservation, and climate change mitigation under frameworks such as the UNFCCC and REDD ...
Shashi Nandar Kumar
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Ant Nest Detection Using Underground P-Band TomoSAR [PDF]
Leaf-cutting ants, notorious for causing defoliation in commercial forest plantations, significantly contribute to biomass and productivity losses, impacting forest producers in Brazil. These ants construct complex underground nests, highlighting the need for advanced monitoring tools to extract subsurface information across large areas.
Gian Oré +12 more
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Tomographic synthetic aperture radar (TomoSAR) has garnered significant attention recently due to its 3-D imaging capabilities. However, interchannel phase errors present in practical applications severely degrade the quality of 3-D reconstruction ...
Muhan Wang +3 more
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Statistical Regularization for Enhanced TomoSAR Imaging [PDF]
One of the main topics in synthetic aperture radar (SAR) tomography (TomoSAR) is the estimation of the vertical structures' location, which scatter the field back toward the sensor, constrained to a reduced number of passes. Moreover, the introduction of artifacts and the increase in the ambiguity levels due to irregular sampling, consequence of ...
Martin del Campo Becerra, Gustavo +2 more
openaire +3 more sources
Robust Building Facade Reconstruction from Spaceborne TOMOSAR Points [PDF]
Abstract. With improved sensor resolution and advanced multi-pass interferometric techniques such as SAR tomographic inversion (TomoSAR), it is now possible to reconstruct both shape and motion of urban infrastructures. These sophisticated techniques not only opens up new possibilities to monitor and visualize the dynamics of urban infrastructure in ...
M. Shahzad, Xiao Xiang Zhu
openalex +6 more sources

