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Development of regularization methods on simulated ground-penetrating radar signals to predict thin asphalt overlay thickness

https://doi.org/10.1016/j.sigpro.2016.06.015

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Methods for Solving Incorrectly Posed Problems

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The discrete picard condition for discrete ill-posed problems

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Digital Signal Processing

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Parameter Estimation and Inverse Problems

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Measuring layer thicknesses with GPR – Theory to practice

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Measurement radius of reinforcing steel bar in concrete using digital image GPR

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Automatic detection of multiple pavement layers from GPR data

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Development and validation for in situ asphalt mixture density prediction models

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An innovative method for measuring pavement dielectric constant using the extended CMP method with two air-coupled GPR systems

inferredcites →https://doi.org/10.1016/j.ndteint.2015.03.001openalex-snapshot

Application of regularized deconvolution technique for predicting pavement thin layer thicknesses from ground penetrating radar data

inferredcites →https://doi.org/10.1016/j.ndteint.2015.11.005openalex-snapshot

Development of an analytic approach utilizing the extended common midpoint method to estimate asphalt pavement thickness with 3-D ground-penetrating radar

inferredcites →https://doi.org/10.1016/s0963-8695(01)00010-xopenalex-snapshot

In situ measurements of hot-mix asphalt dielectric properties

inferredcites →https://doi.org/10.1017/cbo9780511543418openalex-snapshot

Theory of Remote Image Formation

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Linear Integral Equations

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Truncated SVD methods for discrete linear ill-posed problems

inferredcites →https://doi.org/10.1046/j.1365-2478.2001.00290.xopenalex-snapshot

From the Hagedoorn imaging technique to Kirchhoff migration and inversion

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Short Communication

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Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter

inferredcites →https://doi.org/10.1080/10298436.2014.973027openalex-snapshot

Algorithm development for the application of ground-penetrating radar on asphalt pavement compaction monitoring

inferredcites →https://doi.org/10.1080/10589759.2011.556730openalex-snapshot

Sublayer-thickness inversion of asphalt layer from ground penetrating radar data

inferredcites →https://doi.org/10.1080/10589759.2012.695787openalex-snapshot

Time-varying deconvolution of GPR data in civil engineering

inferredcites →https://doi.org/10.1088/0031-9112/37/4/035openalex-snapshot

Inverse Problems in Astronomy

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A matched-filter-based reverse-time migration algorithm for ground-penetrating radar data

inferredcites →https://doi.org/10.1109/icgpr.2012.6254888openalex-snapshot

Support Vector Regression method applied to thin pavement thickness estimation by GPR

inferredcites →https://doi.org/10.1109/jstars.2013.2266792openalex-snapshot

Measurement of Dielectric Permittivity and Thickness of Snow and Ice on a Brackish Lagoon Using GPR

inferredcites →https://doi.org/10.1109/proc.1986.13407openalex-snapshot

The deconvolution problem: An overview

inferredcites →https://doi.org/10.1109/tgrs.1991.817705openalex-snapshot

Effect of moisture on asphaltic concrete at microwave frequencies

inferredcites →https://doi.org/10.1109/tgrs.2015.2419235openalex-snapshot

Efficient Deconvolution of Ground-Penetrating Radar Data

inferredcites →https://doi.org/10.1109/tim.2010.2078310openalex-snapshot

Sparse Reconstruction From GPR Data With Applications to Rebar Detection

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Comparative analysis of UWB deconvolution and feature-extraction algorithms for GPR landmine detection

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Probing the Pareto Frontier for Basis Pursuit Solutions

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The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems

inferredcites →https://doi.org/10.1137/1034115openalex-snapshot

Analysis of Discrete Ill-Posed Problems by Means of the L-Curve

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The limits of resolution of zero-phase wavelets

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Approach to Determining In Situ Dielectric Constant of Pavements: Development and Implementation at Interstate 81 in Virginia

inferredcites →https://doi.org/10.3141/2152-03openalex-snapshot

In-Place Hot-Mix Asphalt Density Estimation Using Ground-Penetrating Radar

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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