Results 21 to 30 of about 1,099 (177)
TOMOGRAPHIC SAR INVERSION FROM MIXED REPEAT- AND SINGLE-PASS DATA STACKS – THE TERRASAR-X/TANDEM-X CASE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 This paper presents the first demonstration of high precision very high resolution tomographic SAR inversion with the assistance of TanDEM-X data. The data quality of TerraSAR-X and TanDEM-X is investigated.
X. X. Zhu +3 more
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Deriving Digital Surface Models from Geocoded SAR Images and Back-Projection Tomography
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Digital surface models (DSMs) are sets of elevation data of the Earth's surface, useful for applications such as urban studies and height estimation of buildings.
Elias Mendez Dominguez +2 more
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Scanning Inside Volcanoes with Synthetic Aperture Radar Echography Tomographic Doppler Imaging
Remote Sensing, 2022 A problem with synthetic aperture radars (SARs) is that due to the poor penetrating action of electromagnetic waves within solid bodies, the ability to see through distributed targets is precluded.
Filippo Biondi
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A Deep-Learning Approach for SAR Tomographic Imaging of Forested Areas
IEEE Geoscience and Remote Sensing Letters, 2023 Synthetic aperture radar tomographic imaging reconstructs the three-dimensional reflectivity of a scene from a set of coherent acquisitions performed in an interferometric configuration. In forest areas, a large number of elements backscatter the radar signal within each resolution cell.
Zoé Berenger +4 more
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Realistic Lower Bound on Elevation Estimation for Tomographic SAR [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018 The noise in a tomographic synthetic aperture radar (Tomo-SAR) model is normally assumed to be independent and identically distributed (i.i.d.) Gaussian. In this paper, the correlated Tomo-SAR model is introduced by studying the effect of random residual phase and correlated additive Gaussian noise, and a realistic and general hybrid Cramér-Rao bound ...
Bo Yang 0040 +4 more
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Orbital Radar Sounding of Earth’s Ice Sheets: Opportunities and Challenges
Leida xuebao, 2022 Owing to the enormous amount of frozen water and the particularity of heat exchange, polar ice sheets act as an important indicator and amplifier of global climate change.
Peng XIAO +14 more
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Electronics Letters, 2022 The motion of targets is well known to result in their defocusing and displacement in SAR imagery, but detection of motion and re‐focusing of targets under generic conditions remains an ongoing interest.
F. M. Watson
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UAVSAR Tomography for Vertical Profile Generation of Tropical Forest of Mondah National Park, Gabon
Earth and Space Science, 2020 Polarimetric synthetic‐aperture radar (SAR) remote sensing has been widely used for structural and biophysical parameters retrieval of forest vegetation.
Udit Asopa, Shashi Kumar
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Concealed Object Discrimination in Forested Areas Using PolTomoSAR with Various Baseline Configurations [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesDetecting objects hidden beneath a forest cover with Synthetic Aperture Radar (SAR) is challenging due to strong vegetation scattering, canopy attenuation, and ground returns.
Y. El Bennioui +3 more
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γ-Net: Superresolving SAR Tomographic Inversion via Deep Learning [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Synthetic aperture radar tomography (TomoSAR) has been extensively employed in 3-D reconstruction in dense urban areas using high-resolution SAR acquisitions. Compressive sensing (CS)-based algorithms are generally considered as the state-of-the art in super-resolving TomoSAR, in particular in the single look case.
Kun Qian 0020 +3 more
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