Results 31 to 40 of about 1,079 (177)

Joint Multichannel Sparsity for TomoSAR Imaging Under Interrupted SAR Conditions

open access: goldIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Currently, ultrahigh-resolution synthetic aperture radar (SAR) can capture detailed structures of urban buildings. As a 3-D imaging technology, tomographic SAR (TomoSAR) applies the concept of synthetic aperture in the elevation direction, utilizing SAR ...
Cikang Su   +4 more
openalex   +2 more sources

A Deep Learning Solution for Height Estimation on a Forested Area Based on Pol-TomoSAR Data

open access: greenIEEE Transactions on Geoscience and Remote Sensing, 2023
Forest height and underlying terrain reconstruction is one of the main aims in dealing with forested areas. Theoretically, synthetic aperture radar tomography (TomoSAR) offers the possibility to solve the layover problem, making it possible to estimate ...
Wenyu Yang   +5 more
openalex   +3 more sources

TomoSAR Mapping of 3D Forest Structure: Contributions of L-Band Configurations

open access: yesRemote Sensing, 2021
Synthetic Aperture Radar (SAR) measurements are unique for mapping forest 3D structure and its changes in time. Tomographic SAR (TomoSAR) configurations exploit this potential by reconstructing the 3D radar reflectivity.
Matteo Pardini   +2 more
doaj   +1 more source

Supervised classification from TomoSAR data

open access: gold, 2018
Olivier D’Hondt   +2 more
openalex   +2 more sources

Building façades reconstruction using multi-view tomosar point clouds

open access: greenJoint Urban Remote Sensing Event 2013, 2013
Rich scatterer information retrieved by very high resolution SAR tomography using multiple data stacks from different viewing angles enables us to generate 4D point clouds of the illuminated area from space. They can be potentially used for facade reconstruction and deformation monitoring in urban environment.
Muhammad Shahzad, Xiao Xiang Zhu
openalex   +3 more sources

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

A Geometry Constrained Moving Least Squares-based High-precision 3D Reconstruction Method of Mountains from TomoSAR Point Clouds

open access: yesLeida xuebao, 2022
Tomographic Synthetic Aperture Radar (TomoSAR) is an advanced technology for three-dimensional (3D) mountain reconstruction. However, the TomoSAR mountain point clouds have a significant location error in the elevation direction, making high-precision 3D
Xiaowan LI   +7 more
doaj   +1 more source

Deep-Learning-Based View Interpolation Toward Improved TomoSAR Focusing [PDF]

open access: greenIEEE Geoscience and Remote Sensing Letters
Synthetic aperture radar tomography (TomoSAR) uses several coregistered images from different perspectives to reconstruct a power spectrum pattern (PSP) perpendicular to the line of sight (PLOS), enabling the estimation of a 3-D representation of the ...
Sergio Alejandro Serafín-García   +4 more
openalex   +2 more sources

A Novel Downward‐Looking Linear Array SAR Imaging Method Based on Multiple Measurement Vector Model with L2,1‐Norm

open access: yesJournal 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

Reconstruction of individual trees from multi-aspect TomoSAR data

open access: hybridRemote Sensing of Environment, 2015
AbstractThe localization and reconstruction of individual trees as well as the extraction of their geometrical parameters is an important field of research in both forestry and remote sensing. While the current state-of-the-art mostly focuses on the exploitation of optical imagery and airborne LiDAR data, modern SAR sensors have not yet met the ...
Michael Schmitt   +2 more
openalex   +2 more sources

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