Results 101 to 110 of about 262 (135)
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‘Scatter coherence’ suppression for TomoSAR in urban areas

Remote Sensing Letters, 2015
Synthetic aperture radar tomography (TomoSAR) is typically used to retrieve elevation, deformation, and other key information by separating scattering points of the same slant range in multiple baseline SAR images. ‘Scatter coherence’ (SC), which refers to the coherent relationship between scattering points in cells of the same resolution (e.g.
Ziwei Wang   +3 more
openaire   +1 more source

Robust Height Reconstruction of Buildings Based on Esprit-Tomosar

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
TomoSAR is one of the methods which can perform three-dimensional (3-D) imaging with multiple SAR datasets by using Direction-of-Arrival (DOA) estimation techniques to reveal height distribution of scatterers. However, resolution of the TomoSAR is generally insufficient for height estimation of small objects on the ground surface.
Masanori Gocho   +5 more
openaire   +1 more source

Robust TomoSAR focusing for forest height retrieval

2018 IEEE International Conference on Environmental Engineering (EE), 2018
This paper aims to discuss and present analysis on robust reconstruction of vertical structure of forested area suing multi-baseline synthetic aperture radar (SAR) data. To deal with problem of low signal to noise (SNR) ratio, robust non-local (NL) techniques of covariance matrix estimation are employed and compared with classical multi-looking ...
Aghababaee, Hossein   +3 more
openaire   +2 more sources

A 3D Reconstruction Method of Mountain Areas for TomoSAR

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
Tomographic Synthetic Aperture Radar (TomoSAR) is an advanced technique which allows to achieve 3D reconstruction of interested areas, such as man-made buildings, mountain areas, and other topographic features. However, up to now there exist few researches about 3D reconstruction of mountain areas using TomoSAR.
Xiaowan Li   +4 more
openaire   +1 more source

Estimation Of Structured Covariance Matrices For Tomosar Focusing

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Martin del Campo Becerra, Gustavo Daniel   +4 more
openaire   +1 more source

Impact of Contextual Filtering on TomoSAR Detection

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Karima Hadj-rabah   +3 more
openaire   +1 more source

Tomosar and PS-InSAR analysis of high-rise buildings in Berlin

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Using high-resolution SAR data stacks, a large amount of persistent scatterers (PS) can be found in urban areas, which are used for very detailed surface deformation monitoring. However, in dense urban areas, many of these points consist of more than one dominant scatterer in elevation direction.
Timo Balz   +4 more
openaire   +1 more source

Sparsity based TomoSAR combining CS and GLRT

2018
In this paper a new approach to TomoSAR imaging is presented. It is based on the joint use of a Constant False Alarm Rate (CFAR) detection approach of multiple targets and of Compressive Sampling (CS) tomographic reconstructions. CS is widely used to recover a sparse signal but suffers from the presence of outliers.
Budillon, Alessandra   +2 more
openaire   +1 more source

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