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Spatial Soil Interpolation from Sparse Measurements Based on Geostatistical Priors and L1-Regularized Total Variation Minimization
29/29 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 29 checked references that resolve
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Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
resolves10.1007/s11075-009-9310-3
Algorithms and software for total variation image reconstruction via first-order methods
resolves10.1190/1.3157250
Transform-domain sparsity regularization for inverse problems in geosciences
resolves10.1016/j.advwatres.2011.09.002
Sparse geologic dictionaries for subsurface flow model calibration: Part I. Inversion formulation
resolves10.1016/j.envsoft.2013.12.008
Spatial interpolation methods applied in the environmental sciences: A review
resolves10.1016/j.envsoft.2011.07.004
Application of machine learning methods to spatial interpolation of environmental variables
resolves10.1016/j.dsp.2015.12.012
Multiplicative noise removal via adaptive learned dictionaries and TV regularization
resolves10.1109/TIP.2013.2277798
Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery
resolves10.1016/j.ecolind.2019.105926
Optimal interpolation methods for farmland soil organic matter in various landforms of a complex topography
resolves10.1016/j.landusepol.2011.07.003
European Soil Data Centre: Response to European policy support and public data requirements
resolves10.1007/s10653-020-00673-5
Effectiveness of predicting spatial contaminant distributions at industrial sites using partitioned interpolation method
resolves10.1109/ACCESS.2018.2793851
A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications
resolves10.1038/s41598-021-86862-3
Spatial variability of saturated hydraulic conductivity and its links with other soil properties at the regional scale
resolves10.1016/j.ecolind.2022.109013
Interpolation of soil properties from geostatistical priors and DCT-based compressed sensing
resolves10.1016/j.enggeo.2017.10.019
Interpolation of spatially varying but sparsely measured geo-data: A comparative study
resolves10.1137/080724265
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
resolves10.1680/jgeot.16.P.143
Statistical interpretation of soil property profiles from sparse data using Bayesian compressive sampling
resolves10.1139/cgj-2015-0545
Interpretation of soil property profile from limited measurement data: a compressive sampling perspective
resolves10.1109/LSP.2016.2636443
An Interior-Point Method for Modified Total Variation Exploiting Transform-Domain Sparsity
The 13 references without a DOI — listed, not checked
no DOI — not checkedCompressive sensing with modified total variation minimization algorithm
no DOI — not checkedref8
no DOI — not checkedGroup-sparsity regularization for ill-posed subsurface flow inverse problems
no DOI — not checkedref10
no DOI — not checkedA Review of Spatial Interpolation Methods for Environmental Scientists
no DOI — not checkedOverview of compressed sensing: Sensing model, reconstruction algorithm, and its applications
no DOI — not checkedAnalysis of field-scale spatial correlations and variations of soil nutrients using geostatistics
no DOI — not checkedProbabilistic Inversion of Multiconfiguration Electromagnetic Induction Data Using Dimensionality Reduction Technique: A Numerical Study. Vadose Zo
no DOI — not checkedref27
no DOI — not checkedMachine learning for digital soil mapping: Applications, challenges and suggested solutions
no DOI — not checkedref40
no DOI — not checkedA fast TVL1-L2 minimization algorithm for signal reconstruction from partial Fourier data
no DOI — not checkedIterative image reconstruction for sparse-view CT via total variation regularization and dictionary learning
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