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Regularized SAR Tomography Approaches

Alessandra Budillon, Loic Denis, Clement Rambour, Gilda Schirinzi, Florence Tupin
2020 IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium  
Recently regularized tomographic methods have been proposed for increasing the density of the recovered scatterers in urban environments.  ...  Synthetic Aperture Radar (SAR) tomographic techniques enable the reconstruction of the scene scattering structure along the vertical direction and can provide the temporal evolution of a cloud of reliable  ...  structured information such as buildings shapes, footprints or surfaces [10, 11, 12, 13] .  ... 
doi:10.1109/igarss39084.2020.9323807 fatcat:affndrz3yrcrzlwwnekpdosk3e

Advances on Penetrating Imaging of Building Layout Technique Using Low Frequency Radio Waves

Tian JIN, Yongping SONG, Guolong CUI, Shisheng GUO
2021 Journal of Radars  
inversion technology of building internal structure on the basis of radio-frequency tomography, and the wall position estimation technology based on multipath signals.  ...  wall, the observation mode of building internal structure based on through-the-wall radar, the reconstruction technology of building internal structure on the basis of through-the-wall radar imaging, the  ...  Through-wall-radar multi-view imaging for architectural layout of building[J].  ... 
doi:10.12000/jr20119 doaj:5d81c7fcbec54da59add0de36b5f4571 fatcat:belabyltg5dnvmqj6xxowxvvsm

SAR tomography based 3-D point cloud extraction of point-like scatterers in urban areas

Othmar Frey, Irena Hajnsek, Urs Wegmuller, Charles L. Werner
2014 2014 IEEE Geoscience and Remote Sensing Symposium  
Experimental results are presented in the form of (1) vertical tomographic slices of high-rise buildings and (2) a 3-D point cloud of a larger district of the city of Barcelona retrieved from the tomograms  ...  SAR tomography as an extension to persistent scatterer interferometry (PSI) approaches has the potential to improve the level of detail of retrievable information, in particular, in the case of layover  ...  SAR tomography algorithms of the type of the Tikhonov-regularized inversion are computationally efficient; a drawback is a limited resolution compared to, e.g. compressive sensing approaches, which in  ... 
doi:10.1109/igarss.2014.6946675 dblp:conf/igarss/FreyHWW14 fatcat:pishuagkgncszobwrtldpgx2vi

Compressive sensing for high resolution differential SAR tomography - the SL1MMER algorithm

Zhu Xiao Xiang, Richard Bamler
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
For the differential tomographic inversion itself we propose a 2-D compressive sensing (CS) based approach-"SL1MMER".  ...  Since building deformation in general is nonlinear, e.g. due to thermal dilation, we start from a tomographic system formulation that is general enough to allow for the inclusion of motion models (linear  ...  This sparsity property of suggests using the compressive sensing approach.  ... 
doi:10.1109/igarss.2010.5654021 dblp:conf/igarss/XiangB10 fatcat:oc4hjzvssbdohdhlbkto5pk2wy

Device Free Localisation Techniques in Indoor Environments

K S Anusha, Ramachandran Ramanathan, M Jayakumar
2019 Defence Science Journal  
The location estimation of a target for a long period was performed only by device based localisation technique which is difficult in applications where target especially human is non-cooperative.  ...  For achieving this objective, the wireless sensor network is a better choice due to its growing popularity.  ...  Techniques-based on compressive sensing Methods In compressive sensing based techniques, not all data is used for the analysis of the data.  ... 
doi:10.14429/dsj.69.13214 fatcat:tzsuul2avnhnfk2cyvin7o4sfq

2020 Index IEEE Transactions on Computational Imaging Vol. 6

2020 IEEE Transactions on Computational Imaging  
., +, TCI 2020 1082-1096 Reconstruction of Hyperspectral Data From RGB Images With Prior Cate- gory Information.  ...  Hadj-Youcef, M.A., +, TCI 2020 922-933 Reconstruction of Hyperspectral Data From RGB Images With Prior Cate- gory Information.  ...  ., +, TCI 2020 125-137 Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography. Felsner, L., +, TCI 2020 625-639  ... 
doi:10.1109/tci.2021.3054596 fatcat:puij7ztll5ai7alxrmqzsupcny

Three-Dimensional Structure Inversion of Buildings with Nonparametric Iterative Adaptive Approach Using SAR Tomography

Xing Peng, Changcheng Wang, Xinwu Li, Yanan Du, Haiqiang Fu, Zefa Yang, Qinghua Xie
2018 Remote Sensing  
Synthetic aperture radar tomography (TomoSAR) is a useful tool for retrieving the three-dimensional structure of buildings in urban areas, especially for datasets with a high spatial resolution.  ...  The height estimation accuracy for this building was about 1% and 4% relative to its real height for single-look and multi-look, respectively.  ...  Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2018, 10, 1004  ... 
doi:10.3390/rs10071004 fatcat:ogek2qhuivgjpbzawjmbyzhs4e

Urban surface reconstruction in SAR tomography by graph-cuts

Clément Rambour, Loïc Denis, Florence Tupin, Hélène Oriot, Yue Huang, Laurent Ferro-Famil
2019 Computer Vision and Image Understanding  
In urban areas, sparsity priors are generally enforced during the tomographic inversion process in order to retrieve the location of scatterers seen within a given radar resolution cell.  ...  However, such priors often miss parts of the urban surfaces. Those missing parts are typically regions of flat areas such as ground or rooftops.  ...  The structure of the paper is as follows. We first describe the multi-baseline SAR signal model and state-of-the-art methods in urban SAR tomography.  ... 
doi:10.1016/j.cviu.2019.07.011 fatcat:hqw7pn6q65funmx4ndxp2m2bpm

Non-Local Compressive Sensing Based SAR Tomography [article]

Yilei Shi, Xiao Xiang Zhu, Richard Bamler
2018 arXiv   pre-print
Tomographic SAR (TomoSAR) inversion of urban areas is an inherently sparse reconstruction problem and, hence, can be solved using compressive sensing (CS) algorithms.  ...  We propose to increase SNR by integrating non-local estimation into the inversion and show that a reasonable reconstruction of buildings from only seven interferograms is feasible. 2) CS-based inversion  ...  In section II, the SAR imaging model and TomoSAR inversion with compressive sensing approach are introduced.  ... 
arXiv:1811.02046v1 fatcat:y76n366ukncmpd3fwnymmq55gy

Physics-guided Terahertz Computational Imaging [article]

Weng-Tai Su, Yi-Chun Hung, Po-Jen Yu, Chia-Wen Lin, Shang-Hua Yang
2022 arXiv   pre-print
Among all tomographic techniques, terahertz (THz) computational imaging has demonstrated its unique sensing features to digitalize multi-dimensional object information in a non-destructive, non-ionizing  ...  interior information of imaged objects.  ...  inverse problem of the THz compressive sensing.  ... 
arXiv:2205.00327v1 fatcat:x4iqvrzonradpng6qwd3p3asai

Multidimensional Data Tensor Sensing for RF Tomographic Imaging [article]

Tao Deng, Xiao-Yang Liu, Feng Qian, Anwar Walid
2017 arXiv   pre-print
Radio-frequency (RF) tomographic imaging is a promising technique for inferring multi-dimensional physical space by processing RF signals traversed across a region of interest.  ...  However, conventional RF tomography schemes are generally based on vector compressed sensing, which ignores the geometric structures of the target spaces and leads to low recovery precision.  ...  In [1, 5] , vector-based compressed sensing approaches for RF tomographic imaging are proposed.  ... 
arXiv:1712.04919v2 fatcat:62ytsgb7wrh4dkeflt2ldopkg4

Joint Sparsity for TomoSAR Imaging in Urban Areas Using Building POI and TerraSAR-X Staring Spotlight Data

Lei Pang, Yanfeng Gai, Tian Zhang
2021 Sensors  
Recently, compressive sensing (CS) has been applied to TomoSAR imaging with the use of very-high-resolution (VHR) SAR images delivered by modern SAR systems, such as TerraSAR-X and TanDEM-X.  ...  Compared with the traditional Fourier transform and spectrum estimation methods, using sparse information for TomoSAR imaging can obtain super-resolution power and robustness and is only minorly impacted  ...  Acknowledgments: The authors would like to thank the Deutsches Zentrum für Luft-und Raumfahrt (DLR) for providing the SAR tomographic experiment datasets (TerraSAR-X proposal RES3668).  ... 
doi:10.3390/s21206888 pmid:34696097 pmcid:PMC8541257 fatcat:j3fkylzmxzb2vfn43xhtrlvm2q

Memory-efficient Learning for Large-scale Computational Imaging [article]

Michael Kellman, Kevin Zhang, Jon Tamir, Emrah Bostan, Michael Lustig, Laura Waller
2020 arXiv   pre-print
We demonstrate our method on a small-scale compressed sensing example, as well as two large-scale real-world systems: multi-channel magnetic resonance imaging and super-resolution optical microscopy.  ...  However, for real-world large-scale inverse problems, computing gradients via backpropagation is infeasible due to memory limitations of graphics processing units.  ...  Learned measurements for compressed sensing Compressed sensing combines random measurements and regularized optimization to reduce the sampling requirements of a signal below the Nyquist rate [19] .  ... 
arXiv:2003.05551v1 fatcat:pm5vkz2pj5es7bkhnwodv4ckhy

Exploiting group sparsity in SAR tomography

Xiao Xiang Zhu, Nan Ge, Muhammad Shahzad
2015 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa)  
In this manuscript, we propose a novel workflow that marries the freely available 2D building footprint GIS data and the group sparsity concept for TomoSAR inversion.  ...  We aim at improving the estimation accuracy of TomoSAR while reducing the required number of images by incorporating prior knowledge of buildings into estimation.  ...  ACKNOWLEDGMENT This work is supported by the Helmholtz Association under the framework of the Young Investigators Group "SiPEO" (VH-NG-1018, www.sipeo.bgu.tum.de) and International Graduate School of Science  ... 
doi:10.1109/cosera.2015.7330255 fatcat:7y6v7ng4rnag7jbbntpshraxcq

Edge-Guided Dual-Modality Image Reconstruction

Yang Lu, Jun Zhao, Ge Wang
2014 IEEE Access  
This approach can be potentially useful for a simultaneous CT-MRI system. INDEX TERMS l 1 -norm minimization, multi-modality imaging, CT-MRI system, image reconstruction.  ...  The key is to establish a knowledge-based connection between these two data sets for the tight fusion of different imaging modalities.  ...  In reality, most of the signals fulfill the requirement for compressed sensing, and many applications of compressed sensing theory have been demonstrated [6] .  ... 
doi:10.1109/access.2014.2371994 fatcat:6rjjcslvqrcgfb6cxg5hcnrlee
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