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2018 IEEE Geoscience and Remote Sensing Letters  
Moreira 719 DEM Generation Using Circular SAR Data Based on Low-Rank and Sparse Matrix Decomposition ................... ................................................................................  ...  Nguyen, and J. M. M. Anderson 689 SAR Data Derivation of Bistatic SAR Resolution Equations Based on Backprojection ............. V. T. Vu and M. I.  ... 
doi:10.1109/lgrs.2018.2825618 fatcat:uqfjby6sxfhyvh6xxo3vx77tme

3D Point Cloud Reconstruction Using Inversely Mapping and Voting from Single Pass CSAR Images

Shanshan Feng, Yun Lin, Yanping Wang, Fei Teng, Wen Hong
2021 Remote Sensing  
The proposed approach is verified by the Gotcha Volumetric SAR Data Set.  ...  In this paper, we proposed a method for 3D point cloud reconstruction using projections on 2D sub-aperture images. The target and background in the sub-aperture images are separated and binarized.  ...  Acknowledgments: The authors would like to thank the Air Force Research Laboratory, Washington, DC, USA, for providing the Gotcha volumetric SAR data set to the community.  ... 
doi:10.3390/rs13173534 fatcat:to7opt2k6ngoza7ie7aq5tcqbq

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

2019 IEEE Transactions on Geoscience and Remote Sensing  
., and Drake, V.A., 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, 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.,  ...  Detection by Joint Sparse and Low-Rank Matrix Decomposition; TGRS May 2019 2583-2595 Tivive, F.H.C., and Bouzerdoum, A., Through-the-Wall Target Separation Using Low-Rank and Variational Mode Decomposition  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

Arctic Tundra Land Cover Classification on the Beaufort Coast Using the Kennaugh Element Framework on Dual-Polarimetric TerraSAR-X Imagery

Willeke A'Campo, Annett Bartsch, Achim Roth, Anna Wendleder, Victoria S. Martin, Luca Durstewitz, Rachele Lodi, Julia Wagner, Gustaf Hugelius
2021 Remote Sensing  
A Random Forest (RF) classification was applied on multi-temporal Sigma Nought intensity and multi-temporal Kennaugh matrix element data.  ...  Synthetic Aperture Radar (SAR) imagery is specifically suitable for monitoring the Arctic, as SAR, unlike optical remote sensing, can provide time series regardless of weather and illumination conditions  ...  Acknowledgments: TerraSAR-X data were made available by DLR through PI agreement 3645. DEMs provided by the Polar Geospatial Center under NSFOPP awards 1043681, 1559691, and 1542736.  ... 
doi:10.3390/rs13234780 fatcat:royveegzwvehvpbhn7ftjgvnlq

Polarimetric Parameters for Growing Stock Volume Estimation Using ALOS PALSAR L-Band Data over Siberian Forests

Tanvir Chowdhury, Christian Thiel, Christiane Schmullius, Martyna Stelmaszczuk-Górska
2013 Remote Sensing  
Moreover, a slight impact of tree species on polarimetric decomposition powers has been observed.  ...  The decomposition powers of surface scattering, double-bounce and volume scattering, derived with and without rotation of coherency matrix, were compared with Growing Stock Volume (GSV).  ...  Acknowledgments This work has been undertaken [in part] within the framework of the JAXA Kyoto and Carbon Initiative. ALOS PALSAR data have been provided by JAXA EORC.  ... 
doi:10.3390/rs5115725 fatcat:ssnwc3m4qrdepmufeldgsu6see

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  
Liu, K., +, JSTARS 2020 4738-4747 An Improved Low Rank and Sparse Matrix Decomposition-Based Anom- aly Target Detection Algorithm for Hyperspectral Imagery.  ...  Zhang, W., +, JSTARS 2020 3903-3916 An Improved Low Rank and Sparse Matrix Decomposition-Based Anom- aly Target Detection Algorithm for Hyperspectral Imagery.  ...  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

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

2015 IEEE Transactions on Geoscience and Remote Sensing  
., +, TGRS Nov. 2015 6114-6133 Matrix decomposition CAESAR: An Approach Based on Covariance Matrix Decomposition to Improve Multibaseline-Multitemporal Interferometric SAR Processing.  ...  Representation and Low-Rank Constraint.  ... 
doi:10.1109/tgrs.2015.2513444 fatcat:zuklkpk4gjdxjegoym5oagotzq

A Review of Ten-Year Advances of Multi-Baseline SAR Interferometry Using TerraSAR-X Data

Xiao Zhu, Yuanyuan Wang, Sina Montazeri, Nan Ge
2018 Remote Sensing  
would like to resort to SAR data and related techniques for their applications.  ...  Particular focus was put on our own development of persistent scatterer interferometry, SAR tomography, robust estimation in distributed scatterer interferometry and absolute positioning using geodetic  ...  low rank decomposition) [62, 63] , which exploits the smoothness prior and low rank property of the InSAR data stack of individual objects.  ... 
doi:10.3390/rs10091374 fatcat:wrdb2grc2jdudmvnm5pmhbnltu

A tutorial on synthetic aperture radar

Alberto Moreira, Pau Prats-Iraola, Marwan Younis, Gerhard Krieger, Irena Hajnsek, Konstantinos P. Papathanassiou
2013 IEEE Geoscience and Remote Sensing Magazine  
One of the first model-based decompositions used to fit and to interpret SAR data is the Three-Component Decomposition proposed by A. Freeman and S.L. Durden in 1998 [45] .  ...  The idea of the eigenvector approach is to use the diagonalization of the coherency matrix [ ] T of a distributed scatterer, which is in general of rank 3, as a decomposition into the non-coherent sum  ... 
doi:10.1109/mgrs.2013.2248301 fatcat:adkcmbk66vak7c3xhzorqxxmdm

Polarimetric ALOS PALSAR Time Series in Mapping Biomass of Boreal Forests

Oleg Antropov, Yrjö Rauste, Tuomas Häme, Jaan Praks
2017 Remote Sensing  
Additionally, different ratios [17] and correlations based on the second order statistics of SAR data are often used to establish empirical or semi-empirical relationships between PolSAR observables and  ...  The opportunity to use multi-polarization (including quad-polarimetric) and multitemporal SAR data at L-band was offered by a Phased Array type L-band Synthetic Aperture Radar (PALSAR) sensor on-board  ...  Forest inventory data were available via EU FP7 project North State and TEKES funded NewSAR project. Materials from Metsähallitus and UPM Kymmene were used in the interpretation of PolSAR images.  ... 
doi:10.3390/rs9100999 fatcat:664yktitsfeq5kugjtnqcz42ia

Forest Applications [chapter]

K. P. Papathanassiou, S. R. Cloude, M. Pardini, M. J. Quiñones, D. Hoekman, L. Ferro-Famil, D. Goodenough, H. Chen, S. Tebaldini, M. Neumann, L. M. H. Ulander, M. J. Soja
2021 Remote Sensing and Digital Image Processing  
This review includes not only models and algorithms, but it also contains a large number of experimental results in different test sites and forest types, and from airborne and space borne SAR data at  ...  The radar penetration through forest volume, and hence the multi-layer nature of scattering models, make fully polarimetric data the observation space enabling a robust and full inversion of such models  ...  Next, a box car filter was used to generate the 3 Â 3 PolSAR coherency matrix.  ... 
doi:10.1007/978-3-030-56504-6_2 fatcat:jk7khncswvdornzxopnnh5h7fi

Discriminating Forest Successional Stages, Forest Degradation, and Land use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data

Natalia C. Wiederkehr, Fabio F. Gama, Paulo B. N. Castro, Polyanna da Conceição Bispo, Heiko Balzter, Edson E. Sano, Veraldo Liesenberg, João R. Santos, José C. Mura
2020 Remote Sensing  
Based on the variable importance score, we selected the four first attributes for 2015, alpha, anisotropy, volumetric scattering, and double-bounce, and for 2016, entropy, anisotropy, surface scattering  ...  polarimetric decompositions.  ...  [89] also used YH, FD, and CP polarimetric decompositions to monitor land cover in a tropical region of Cambodia, based on ALOS/PALSAR-1 full polarimetric data.  ... 
doi:10.3390/rs12213512 fatcat:4zjeihs72jf4hoeu4zoq5qfthm

Methods and Performances for Multi-Pass SAR Interferometry [chapter]

Stefano Tebaldini, Andrea Monti
2010 Geoscience and Remote Sensing New Achievements  
More explicitly, the phase stability index has been used as a figure of merit for sampling the phase estimates on a sparse grid of reliable points, to be used for APS estimation and removal.  ...  There are two reasons why the choice of such a data-set is suited to this goal: • an a priori information about target statistics, represented by the matrix Γ, is easily available by using an SRTM DEM;  ...  The book chapters can be categorized along different perspectives, among others, use of active or passive sensors, employed technologies and configurations, considered scenario on the Earth, scientific  ... 
doi:10.5772/9112 fatcat:d6ujp2d7ozh2zhbgesgsjchxey

Ground deformation mapping by fusion of multi-temporal interferometric synthetic aperture radar images: a review

Lei Zhang, Xiaoli Ding, Zhong Lu
2015 International Journal of Image and Data Fusion  
The strength of this technique lies in its abilities of all-weather, day and night data acquisition, high measurement accuracy and wide spatial scale.  ...  Interferometric synthetic aperture radar (InSAR) has emerged as a powerful geodetic imaging technique in the past two decades, focused on the retrieval of deformation, topography and even meteorological  ...  Acknowledgements The Envisat/ASAR data used in the study are copyrighted by European Space Agency. Disclosure statement No potential conflict of interest was reported by the authors.  ... 
doi:10.1080/19479832.2015.1068874 fatcat:kyt5ckerufdq5lhklzryz4m7aq

Semi-Automatic Detection of Indigenous Settlement Features on Hispaniola through Remote Sensing Data

Till Sonnemann, Douglas Comer, Jesse Patsolic, William Megarry, Eduardo Herrera Malatesta, Corinne Hofman
2017 Geosciences  
of areas based on the surface finds on site [19, 20] .  ...  Both algorithms were modified at the time of the study and ready for use at different times; this is one reason why each was applied on a different trial area.  ...  generous data grants.  ... 
doi:10.3390/geosciences7040127 fatcat:qwdlbf3hvbcwrpvdgkawgltlfi
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