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SAR Image Regularization With Fast Approximate Discrete Minimization
2009
IEEE Transactions on Image Processing
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This algorithm is applied to joint regularization of the amplitude and interferometric phase in urban area SAR images. ...
The presence of this noise makes the automatic interpretation of images a challenging task and noise reduction is often a prerequisite for successful use of classical image processing algorithms. ...
Tison, for their support, and the Office National ...
doi:10.1109/tip.2009.2019302
pmid:19482581
fatcat:zrh2tza6cvhelicmve4ykuv2wi
Long Term Interferometric Temporal Coherence and DInSAR Phase in Northern Peatlands
2020
Remote Sensing
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These findings suggest that InSAR long term temporal coherence could be used to describe seasonal bog WT dynamics and differentiate between mire types and ecotopes within a bog. ...
Peatlands of northern temperate and cold climates are significant pools of stored carbon. ...
Acknowledgments: The authors would like to thank Anto Aasa (University of Tartu) for helping with R, and also Datel AS (Estonia) and Juhan-Peep Ernits (Tallinn University of Technology) for providing computing ...
doi:10.3390/rs12101566
fatcat:5i36xemtlfgsbmopjsyoftncai
Inhomogenous Regularization with Limited and Indirect Data
[article]
2021
arXiv
pre-print
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We validate the robustness and effectiveness of the proposed approach through a suite of numerical tests in 1D and 2D, including a sea ice image recovery from partial Fourier measurement data. ...
The proposed method extracts statistical and patch-wise information using multiple reconstructions from a single measurement, which assists in classifying each patch to predefined features with corresponding ...
However, `p , p ∈ [0, 1) leads to the non-
convexity of the objective function and thus requires a delicate optimization method. ...
arXiv:2108.01703v2
fatcat:6por67vscveajajfpr56fa3plu
Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar
2020
Journal of Optimization Differential Equations and their Applications
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Aperture Radar (SAR) images of the same regions. ...
We discuss the consistency of the proposed problem, give the scheme for its regularization, derive the corresponding optimality system, and describe in detail the algorithm for the practical implementation ...
Acknowledgments The authors would like to thank the reviewers for their valuable comments which led the significant improvement of this manuscript. ...
doi:10.15421/1420o4
fatcat:eozeil5wezar5infhqtaoaqn3e
Cloud Removal in High Resolution Multispectral Satellite Imagery: Comparing Three Approaches
2018
Proceedings (MDPI)
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Plenty of methods have been suggested in the literature to address this problem, and reconstruct the missing part of the optical signal. ...
A set of experiments using Landsat 8 time series with diverse land cover types were conducted. The quantitative results of the three methods using simulated clouds are presented. ...
By fusing three different types of data, namely low resolution optical image and a SAR image, along with the target high resolution multispectral data, Li et al. ...
doi:10.3390/ecrs-2-05166
fatcat:qavlcuoj4zhjhbyijcpmqzczji
High-Rise Building Layover Exploitation with Non-Local Frequency Estimation in SAR Interferograms
2017
Remote Sensing
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The results of the removal approach with both simulated and real TanDEM-X and TerraSAR-X images are presented to prove the potential of the method. ...
We use a non-local algorithm to estimate the high-accuracy frequency in the range direction, which is utilized to extract the layover areas of a building. ...
the used SAR dataset. ...
doi:10.3390/rs9060579
fatcat:rt64stoasrderewbxszy6zvl6m
A Novel Fractional-Order Variational Approach for Image Restoration Based on Fuzzy Membership Degrees
2021
IEEE Access
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For the solution of non-linear Euler Lagrange fractional-order PDEs, a semiimplicit gradient descent scheme is used in section 4.Some reconstruction results of natural and synthetic images are provided ...
the image recovery process. ...
Original Image (a) Given Image Noisy Image ...
doi:10.1109/access.2021.3066127
fatcat:zh6wurzmyzatpozjsymhsjokza
2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57
2019
IEEE Transactions on Geoscience and Remote Sensing
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and Hanssen, R.F., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging ...
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., ...
., +, TGRS Oct. 2019 7671-7681 Realistic FDTD GPR Antenna Models Optimized Using a Novel Linear/ Decomposing Infrared Images of Wind Waves for Quantitative Separation Into Characteristic Flow Processes ...
doi:10.1109/tgrs.2020.2967201
fatcat:kpfxoidv5bgcfo36zfsnxe4aj4
An adaptive total variational despeckling model based on gray level indicator frame
2020
Inverse Problems and Imaging
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Then, considering the existence, uniqueness and comparison principle of the minimizer of the functional. ...
The finite difference method with rescaling technique and the primal-dual method with adaptive step size are used to solve the minimization problem. ...
The work of the authors was partially supported by the National Natural Science Foundation of China (11971131, U1637208, 61873071, 51476047, 11871133, 71773024), the Natural Science Foundation of Heilongjiang ...
doi:10.3934/ipi.2020068
fatcat:ll2uhuykcvaczf4gymzk3c5hfq
Multiplicative Noise Removal via a Novel Variational Model
2010
EURASIP Journal on Image and Video Processing
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Hence multiplicative noise removal is of momentous significance in coherent imaging systems and various image processing applications. ...
We study the issues of existence and uniqueness of a minimizer for this variational model. ...
Acknowledgments The authors thank the authors of [5, 20] for sharing their programs. ...
doi:10.1155/2010/250768
fatcat:gzgmwzi2mzgvdef5ruci7rbspm
Image Recovery and Recognition: A Combining Method of Matrix Norm Regularization
2019
IET Image Processing
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The technology of image recovery, as a part of image processing, becomes more and more important. The robust principle component analysis (RPCA) serves as a key problem for low-rank matrix recovery. ...
Based on the idea of elastic-net, which is composed of l 1 norm and l 2 norm, this model is based on elastic-net of the singular values can be composed of the truncated nuclear norm and the square of Frobenius ...
Even then, the work failed to solve the problem of minimising rank function directly due to its non-convex and discontinuous nature. ...
doi:10.1049/iet-ipr.2018.5511
fatcat:wrhgazazhjeq5dvdk4iuhg2hru
CMR and CT of the Patient With Cardiac Devices
2019
JACC Cardiovascular Imaging
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However, the use of these imaging techniques poses potential safety concerns for patients with implanted cardiac devices. ...
In this review summarizes the safety issues regarding imaging in patients with cardiac devices. Optimization strategies to mitigate image artifacts and to improve imaging efficacy are discussed. ...
(B) The conventional image obtained by linear blending of the low-and high-energy images demonstrates significant streaking artifacts due to photon starvation and beam hardening around the device. ...
doi:10.1016/j.jcmg.2018.09.030
pmid:31072517
fatcat:mc2webns2fdzpoalmjc6pskckm
Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+
2017
Carbon Balance and Management
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Improvements in the reliability of mapping methods are anticipated by SAR-optical data fusion and use of very high resolution data. ...
A better understanding of the drivers and impacts of degradation will help guide monitoring and restoration efforts. ...
Acknowledgements The authors acknowledge the support of GFOI, ESA, GOFC-GOLD, University of Wageningen, and knowledge sharing at GFOI Expert Workshops (www. gfoi.org/rd). The contributions from D. ...
doi:10.1186/s13021-017-0078-9
pmid:28417324
pmcid:PMC5393981
fatcat:nyb3rjngp5a4plfs47r75w5y3u
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
2010
IEEE Transactions on Image Processing
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an equivalent constrained problem; and (3) dealing with this optimization problem using the augmented Lagrangian framework. ...
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser imaging. ...
Ng, and Y.-W. Wen, for allowing the use of their code and original images, and to Mila Nikolova and Jalal Fadili for providing the images and results from [15] . ...
doi:10.1109/tip.2010.2045029
pmid:20215071
fatcat:4ega7666j5h6znihsfao46f3rq
Sequential image recovery from noisy and under-sampled Fourier data
[article]
2022
arXiv
pre-print
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A new algorithm is developed to jointly recover a temporal sequence of images from noisy and under-sampled Fourier data. ...
Our new method is designed to restore the missing information in each individual image by "borrowing" it from the other images in the sequence. ...
The initial recovery only uses intra-image information, and is designed to exploit the presumed sparsity of the image in the edge domain. ...
arXiv:2203.14746v1
fatcat:fqoyn2n4nvfefhimtpiceqd2ai
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