CAESAR: An approach based on covariance matrix decomposition to improve multibaseline–multitemporal interferometric SAR processing
Synthetic aperture radar (SAR) tomography has been strongly developed in the last years
for the analysis at fine scale of data acquired by high-resolution interferometric SAR sensors …
for the analysis at fine scale of data acquired by high-resolution interferometric SAR sensors …
A phase-based technique for localization of UHF-RFID tags moving on a conveyor belt: Performance analysis and test-case measurements
A new phase-based technique for localization and tracking of items moving along a
conveyor belt and equipped with ultrahigh frequency-radio frequency identification (UHF …
conveyor belt and equipped with ultrahigh frequency-radio frequency identification (UHF …
Tomographic processing of interferometric SAR data: Developments, applications, and future research perspectives
G Fornaro, F Lombardini, A Pauciullo… - IEEE Signal …, 2014 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) data processed with interferometric techniques are widely
used today for environmental risk monitoring and security. SAR tomography techniques are …
used today for environmental risk monitoring and security. SAR tomography techniques are …
Wavelet-based compressed sensing for SAR tomography of forested areas
E Aguilera, M Nannini, A Reigber - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) tomography is a 3-D imaging modality that is commonly
tackled by spectral estimation techniques. Thus, the backscattered power along the cross …
tackled by spectral estimation techniques. Thus, the backscattered power along the cross …
Comparison of tomographic SAR reflectivity reconstruction algorithms for forest applications at L-band
V Cazcarra-Bes, M Pardini, M Tello… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
Forest structure is a key parameter for forest applications, but it is difficult to be estimated at
the required spatial and temporal scales. In this context, synthetic aperture radar …
the required spatial and temporal scales. In this context, synthetic aperture radar …
First 3-D reconstructions of targets hidden beneath foliage by means of polarimetric SAR tomography
M Nannini, R Scheiber, R Horn… - IEEE Geoscience and …, 2011 - ieeexplore.ieee.org
SAR tomography (SARTom) is an imaging technique that allows multiple phase center
separation in the vertical direction, leading to a 3-D reconstruction of the imaged scene. The …
separation in the vertical direction, leading to a 3-D reconstruction of the imaged scene. The …
Temporal decorrelation-robust SAR tomography
F Lombardini, F Cai - IEEE Transactions on Geoscience and …, 2013 - ieeexplore.ieee.org
Much interest is continuing to grow in advanced interferometric synthetic aperture radar
(SAR) methods for full 3-D imaging, particularly of volumetric forest scatterers. Multibaseline …
(SAR) methods for full 3-D imaging, particularly of volumetric forest scatterers. Multibaseline …
Spaceborne 3-D SAR tomography for analyzing garbled urban scenarios: Single-look superresolution advances and experiments
F Lombardini, F Cai, D Pasculli - IEEE Journal of Selected …, 2013 - ieeexplore.ieee.org
Synthetic Aperture Radar Tomography (Tomo-SAR) is an emerging experimental “coherent
data combination” mode allowing unprecedented full 3-D imaging of complex urban and …
data combination” mode allowing unprecedented full 3-D imaging of complex urban and …
Superresolution differential tomography: Experiments on identification of multiple scatterers in spaceborne SAR data
F Lombardini, M Pardini - IEEE Transactions on Geoscience …, 2011 - ieeexplore.ieee.org
Interest is growing in the application of coherent processing of synthetic aperture radar
(SAR) data to the monitoring of complex urban or infrastructure areas. However, such …
(SAR) data to the monitoring of complex urban or infrastructure areas. However, such …
TADCG: A Novel Gridless Tomographic SAR Imaging Approach Based on the Alternate Descent Conditional Gradient Algorithm With Robustness and Efficiency
Sparse signal processing techniques, such as compressed sensing (CS), are commonly
used in tomographic synthetic aperture radar (TomoSAR) imaging due to the sparsity …
used in tomographic synthetic aperture radar (TomoSAR) imaging due to the sparsity …