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Urban Area Tomography Using a Sparse Representation Based Two-Dimensional Spectral Analysis Technique

Lei Liang, Xinwu Li, Laurent Ferro-Famil, Huadong Guo, Lu Zhang, Wenjin Wu
2018 Remote Sensing  
Urban area tomography using a sparse representation based two-dimensional spectral analysis technique.  ...  We present the theory of the CS-based two-dimensional TomoSAR technique and compare it to the CS-based one-dimensional TomoSAR technique.  ...  TomoSAR method for urban area analysis, we performed tomographic processing on a building (Figure 10d ).  ... 
doi:10.3390/rs10010109 fatcat:g4ds4uu5vfasjfgmqzejl47zkm

Exploiting sparsity in remote sensing and earth observation: Theory, applications and future trends

Xiao Xiang Zhu, Richard Bamler
2015 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
Sparse signals are commonly expected in remote sensing and Earth observation.  ...  Breakthroughs are brought in different remote sensing problems covering synthetic aperture radar, multispectral and hyperspectral image analysis, and LiDAR.  ...  Sufficiently small images patches normally have a sparse representation in overcomplete dictionaries trained from the data. − Spectral unmixing for hyperspectral data [29] - [31] : The goal of spectral  ... 
doi:10.1109/igarss.2015.7326406 dblp:conf/igarss/ZhuB15 fatcat:vyokxlbjavgkjbl2thma7f77fe

2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7

2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., Bronstert, A., and Foerster, S  ...  ., +, JSTARS Jan. 2014 290-299 Fourier analysis Three-Dimensional Structural Parameter Inversion of Buildings by Distributed Compressive Sensing-Based Polarimetric SAR Tomography Using a Small Number of  ...  ., +, JSTARS Jan. 2014 29-39 Three-Dimensional Structural Parameter Inversion of Buildings by Distributed Compressive Sensing-Based Polarimetric SAR Tomography Using a Small Number of Baselines.  ... 
doi:10.1109/jstars.2015.2397347 fatcat:ib3tjwsjsnd6ri6kkklq5ov37a

2012 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 50

2012 IEEE Transactions on Geoscience and Remote Sensing  
., +, TGRS Jan. 2012 221-231 Multiresolution analysis A Wavelet Spectral Analysis Technique for Automatic Detection of Geomagnetic Sudden Commencements. Hafez, A.  ...  -Q., +, TGRS Feb. 2012 338-348 Radargrammetric DEM Extraction Over Urban Area Using Circular SAR Imagery.  ...  Radar resolution A Novel Method for Imaging of Group Targets Moving in a Formation. Bai, X., +, TGRS Jan. 2012  ... 
doi:10.1109/tgrs.2012.2229656 fatcat:hjrotpfsqzhxlnnme27ftv33cu

2015 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 53

2015 IEEE Transactions on Geoscience and Remote Sensing  
., +, TGRS Sept. 2015 4862-4875 A New Ionosphere Tomography Algorithm With Two-Grid Virtual Observations Constraints and Three-Dimensional Velocity Profile.  ...  ., +, TGRS May 2015 2323-2334 A Novel MKL Model of Integrating LiDAR Data and MSI for Urban Area Classification.  ...  Radiofrequency interference A Methodology to Determine Radio-Frequency Interference in AMSR2 Observations.  ... 
doi:10.1109/tgrs.2015.2513444 fatcat:zuklkpk4gjdxjegoym5oagotzq

2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13

2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., +, JSTARS 2020 4133-4148 A Novel Spectral-Spatial Singular Spectrum Analysis Technique for Near Real-Time In Situ Feature Extraction in Hyperspectral Imaging.  ...  ., +, JSTARS 2020 914-927 Sparse and Low-Rank Representation With Key Connectivity for Hyper- spectral Image Classification.  ...  A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020  ... 
doi:10.1109/jstars.2021.3050695 fatcat:ycd5qt66xrgqfewcr6ygsqcl2y

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
B., Dong, X., and Li, Y., Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite; TGRS Sept. 2019 6591-6607 Hu, F., Wu, J., Chang, L., and Hanssen, R.F  ...  ., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674 Hu, C., Zhang,  ...  ., +, TGRS Aug. 2019 6169-6181 Spectral Image Fusion From Compressive Measurements Using Spectral Unmixing and a Sparse Representation of Abundance Maps.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12

2019 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., +, JSTARS Aug. 2019 2912-2927 Regularization of SAR Tomography for 3-D Height Reconstruction in Urban Areas.  ...  ., +, JSTARS Sept. 2019 3702 Corrections to "Regularization of SAR Tomography for 3-D Height Reconstruction in Urban Areas" [Feb 19 648-659].  ...  Interference Spectral  ... 
doi:10.1109/jstars.2020.2973794 fatcat:sncrozq3fjg4bgjf4lnkslbz3u

Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest

Christian Berger, Michael Voltersen, Robert Eckardt, Jonas Eberle, Thomas Heyer, Nesrin Salepci, Soren Hese, Christiane Schmullius, Junyi Tao, Stefan Auer, Richard Bamler, Ken Ewald (+5 others)
2013 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
This paper highlights the three awarded research contributions which investigate (i) a new metric to assess urban density (UD) from multi-spectral and LiDAR data, (ii) simulation-based techniques to jointly  ...  In particular, they demonstrate the usefulness of LiDAR data when fused with optical or SAR data. We believe these interesting investigations will stimulate further research in the related areas.  ...  In general, these indicators can be subdivided into two groups: (i) two-dimensional (2D), and (ii) three-dimensional (3D) indicators.  ... 
doi:10.1109/jstars.2013.2245860 fatcat:i5pcmwngy5hpjaf7huux7gkvqm

Wavelet-based L½ regularization for CS-TomoSAR imaging of forested area

Bi Hui, Cheng Yuan, Zhu Daiyin, Hong Wen
2020 Journal of Systems Engineering and Electronics  
His main research interests are sparse microwave imaging with compressive sensing, synthetic aperture radar data processing and application, sparse signal processing, and tomographic SAR imaging.  ...  References REIGBER A, MOREIRA A. First demonstration of airborne SAR tomography using multibaseline L-band data. IEEE Trans. on Geoscience and Remote Sensing, 2000, 38(5):  ...  spectral analysis (SA) or compressive sensing (CS) based methods [1−3]. q q ∈ [1/2, 1) q q ∈ (0, 1/2] q q = 1/2 CS as an important development in sparse signal processing was proposed by Donoho et al.  ... 
doi:10.23919/jsee.2020.000088 fatcat:3tbrvru7mbbk3fw4o3ecbmmlaq

A tutorial on tomographic synthetic aperture radar methods

Seyed Alireza Khoshnevis, Seyed Ghorshi
2020 SN Applied Sciences  
Tomography is the method of creating three dimensional models from multiple two dimensional signals.  ...  The goal of this study is to create a comprehensive tutorial on how to work with SAR data, what toolbox to use for analysis, how to create a tomographic SAR dataset, and how to use different methods of  ...  using a two-dimensional CS recovery method.  ... 
doi:10.1007/s42452-020-03298-6 fatcat:yau5zxqxofhjdlutjfeogogrxq

A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios

Yanan You, Jingyi Cao, Wenli Zhou
2020 Remote Sensing  
Based on the survey, a general change detection framework, including change information extraction, data fusion, and analysis of multi-objective scenarios modules, is summarized.  ...  However, diverse multi-source features and change patterns bring challenges to the change detection in urban cases.  ...  Owing to the particularity of hyperspectral images, two points are worth noting. One is to apply the reasonable sparse representation and data dimension reduction techniques.  ... 
doi:10.3390/rs12152460 fatcat:itc5ixwgrffuzgzyj2yrycaree

Bias correction of long-path CO2 observations in a complex urban environment for carbon cycle model inter-comparison and data assimilation

T. Scott Zaccheo, Nathan Blume, Timothy Pernini, Jeremy Dobler, Jinghui Lian
2019 Atmospheric Measurement Techniques  
In 2015, a prototype unit was deployed in Paris, France, to demonstrate its ability to provide continuous observations of CO2 concentrations along horizontal air segments and two-dimensional (2-D) maps  ...  of time-varying CO2 concentrations over a complex urban environment.  ...  into the GHG dynamics in the greater Paris area.  ... 
doi:10.5194/amt-12-5791-2019 fatcat:vvv7a2asxjdbrklfwuw3paoumq

2018 Index IEEE Transactions on Biomedical Engineering Vol. 65

2018 IEEE Transactions on Biomedical Engineering  
., Using Machine Learning and a Combination of Respiratory Flow, Laryngeal Motion, and Swallowing Sounds to Classify Safe and Unsafe Swallowing; TBME Nov.  ...  ., A Delayed-Excitation Data Acquisition Method for High-Frequency Ultrasound Imaging; TBME Jan. 2018 15-20 Qu, X., see Lu, H., TBME April 2018 809-820 Quigley, K.S., see Kleckner, I.R., TBME July 2018  ...  Urban, B.E., +, TBME Jan. 2018 232-238 Feature-Based Representation Improves Color Decomposition and Nuclear Detection Using a Convolutional Neural Network.  ... 
doi:10.1109/tbme.2018.2890522 fatcat:xoblnegncrgmbmiu3r3hxntrxy

Image Fusion: An Overview

Zaid Omar, Tania Stathaki
2014 2014 5th International Conference on Intelligent Systems, Modelling and Simulation  
A section on image fusion applications, ranging from geo-spatial, medical to security fields, is also presented.  ...  Overall the paper aims to bring to light the advances and state-of-theart within the image fusion research area so as to benefit other fields.  ...  A simple example would be of the UN Camp sequence set in Figure 1 . A landscape is captured during night time using two image acquisition techniques.  ... 
doi:10.1109/isms.2014.58 fatcat:tadrosjwsbfvlgkmai4gfpclta
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