Results 21 to 30 of about 125 (87)

RECONSTRUCTION OF BUILDING FOOTPRINTS USING SPACEBORNE TOMOSAR POINT CLOUDS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
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.
M. Shahzad, X. X. Zhu
doaj   +1 more source

CORRELATION ANALYSIS FOR TROPICAL FOREST ABOVE GROUND BIOMASS AND VERTICAL REFLECTIVITY PROFILE [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Tropical forests play a key role in the carbon cycle and sustainable development and their above ground biomass (AGB) is applied as an quantitative parameter for the research on global carbon cycle and ecological function.
W. Li, J. Wu, L. Liu, Y. Li, E. Chen
doaj   +1 more source

Performance Improvement for SAR Tomography Based on Local Plane Model

open access: yesIEEE 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   +4 more
doaj   +1 more source

A Unified Algorithm for Channel Imbalance and Antenna Phase Center Position Calibration of a Single-Pass Multi-Baseline TomoSAR System

open access: yesRemote Sensing, 2018
The multi-baseline synthetic aperture radar (SAR) tomography (TomoSAR) system is employed in such applications as disaster remote sensing, urban 3-D reconstruction, and forest carbon storage estimation.
Yuncheng Bu   +4 more
doaj   +1 more source

Monitoring of Forest Structure Dynamics by Means of L-Band SAR Tomography

open access: yesRemote Sensing, 2017
Synthetic Aperture Radar Tomography (TomoSAR) allows the reconstruction of the 3D reflectivity of natural volume scatterers such as forests, thus providing an opportunity to infer structure information in 3D.
Victor Cazcarra-Bes   +4 more
doaj   +1 more source

L1 Minimization with Perturbation for Off-grid Tomographic SAR Imaging

open access: yesLeida xuebao, 2022
Synthetic Aperture Radar (SAR) Tomography (TomoSAR) is a novel technique that enables three-Dimensional (3-D) imaging using multi-baseline two-Dimensional (2-D) data.
Bang DU   +4 more
doaj   +1 more source

Optimal data acquisition in multi‐pass geosynchronous SAR tomography

open access: yesThe Journal of Engineering, Volume 2019, Issue 20, Page 6359-6363, October 2019., 2019
Geosynchronous SAR tomography (GEO TomoSAR) techniques exploit multi‐pass SAR acquisitions of the same scene, taken with slightly different view angles, and allow generating fully 3D images. Compared to low earth orbit (LEO) SAR case, GEO SAR has the advantages of shorter revisit time period and wider coverage, which can greatly shorten the data ...
Cheng Hu   +4 more
wiley   +1 more source

On the Assessment of Non-Local Multi-Looking in Detection of Persistent Scatterers Using SAR Tomography

open access: yesRemote Sensing, 2020
Synthetic aperture radar (SAR) tomography has shown great potential in multi-dimensional monitoring of urban infrastructures and detection of their possible slow deformations. Along this line, undeniable improvements in SAR tomography (TomoSAR) detection
Hossein Aghababaei
doaj   +1 more source

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

open access: yesLeida 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   +3 more
doaj   +1 more source

TerraSAR‐X StripMap Data Interpretation of Complex Urban Scenarios with 3D SAR Tomography

open access: yesJournal of Sensors, Volume 2014, Issue 1, 2014., 2014
The severe layover problem of complex urban scenarios in SAR data makes SAR data interpretation very difficult, especially for nonexperts. In this paper, we use 3D SAR tomography for SAR data interpretation of dense urban areas. An efficient and robust approach named Butterworth‐filter based singular value decomposition (BSVD) is used for tomographic ...
Lianhuan Wei   +4 more
wiley   +1 more source

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