Blind Source Separation for Feature Detection and Segmentation in Ground Penetrating Radar (GPR) Imaging of Concrete Bridge Decks for Non-destructive Condition Assessment PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Blind Source Separation for Feature Detection and Segmentation in Ground Penetrating Radar (GPR) Imaging of Concrete Bridge Decks for Non-destructive Condition Assessment PDF full book. Access full book title Blind Source Separation for Feature Detection and Segmentation in Ground Penetrating Radar (GPR) Imaging of Concrete Bridge Decks for Non-destructive Condition Assessment by Vincent Krause. Download full books in PDF and EPUB format.
Author: Vincent Krause Publisher: ISBN: Category : Languages : en Pages : 89
Book Description
Concrete bridge decks require periodic condition assessment and preventive maintenance to extend their useful lifespan. Nondestructive evaluation methods such as Ground Penetrating Radar (GPR) are slowly beginning to replace or complement the manual (visual) assessment of bridge conditions for detecting defects at their early stages. However, GPR scans of bridge decks are frequently cluttered with high amplitude reflections from known parts of the bridge deck, which make the detection of defects low amplitude reflections difficult. One such known part is the embedded steel reinforcement bars known as rebar. This dissertation presents a novel approach to the automated detection of defects in concrete bridge decks by removing known reflections such as rebar from GPR scans of reinforced concrete bridge decks. The algorithm detects reflections from rebar with a frequency-domain pulse detection method, groups detected pulses into clusters, interpolates synthetic rebar reflections based on each cluster, and subtracts the synthetic rebar reflection from the original GPR scan data. This algorithm will facilitate the automated, non-destructive condition assessment of bridge decks.
Author: Vincent Krause Publisher: ISBN: Category : Languages : en Pages : 89
Book Description
Concrete bridge decks require periodic condition assessment and preventive maintenance to extend their useful lifespan. Nondestructive evaluation methods such as Ground Penetrating Radar (GPR) are slowly beginning to replace or complement the manual (visual) assessment of bridge conditions for detecting defects at their early stages. However, GPR scans of bridge decks are frequently cluttered with high amplitude reflections from known parts of the bridge deck, which make the detection of defects low amplitude reflections difficult. One such known part is the embedded steel reinforcement bars known as rebar. This dissertation presents a novel approach to the automated detection of defects in concrete bridge decks by removing known reflections such as rebar from GPR scans of reinforced concrete bridge decks. The algorithm detects reflections from rebar with a frequency-domain pulse detection method, groups detected pulses into clusters, interpolates synthetic rebar reflections based on each cluster, and subtracts the synthetic rebar reflection from the original GPR scan data. This algorithm will facilitate the automated, non-destructive condition assessment of bridge decks.
Author: Xianchuan Yu Publisher: John Wiley & Sons ISBN: 1118679873 Category : Technology & Engineering Languages : en Pages : 369
Book Description
A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies The book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on matrix algebra and foundations of probability theory) are essential in order to understand the algorithms, although the book is written in an introductory, accessible style. This book offers a general overview of the basics of Blind Source Separation, important solutions and algorithms, and in-depth coverage of applications in image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition fMRI medical image processing, geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition. Firstly, the background and theory basics of blind source separation are introduced, which provides the foundation for the following work. Matrix operation, foundations of probability theory and information theory basics are included here. There follows the fundamental mathematical model and fairly new but relatively established blind source separation algorithms, such as Independent Component Analysis (ICA) and its improved algorithms (Fast ICA, Maximum Likelihood ICA, Overcomplete ICA, Kernel ICA, Flexible ICA, Non-negative ICA, Constrained ICA, Optimised ICA). The last part of the book considers the very recent algorithms in BSS e.g. Sparse Component Analysis (SCA) and Non-negative Matrix Factorization (NMF). Meanwhile, in-depth cases are presented for each algorithm in order to help the reader understand the algorithm and its application field. A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies Presents new improved algorithms aimed at different applications, such as image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition, and MRI medical image processing With applications in geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition Written by an expert team with accredited innovations in blind source separation and its applications in natural science Accompanying website includes a software system providing codes for most of the algorithms mentioned in the book, enhancing the learning experience Essential reading for postgraduate students and researchers engaged in the area of signal processing, data mining, image processing and recognition, information, geosciences, life sciences.
Author: Ganesh R. Naik Publisher: Springer ISBN: 3642550169 Category : Technology & Engineering Languages : en Pages : 549
Book Description
Blind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms and applications of BSS. Dr. Ganesh R. Naik works at University of Technology, Sydney, Australia; Dr. Wenwu Wang works at University of Surrey, UK.
Author: Yannick Deville Publisher: Springer Nature ISBN: 3030649776 Category : Technology & Engineering Languages : en Pages : 75
Book Description
This book provides a detailed survey of the methods that were recently developed to handle advanced versions of the blind source separation problem, which involve several types of nonlinear mixtures. Another attractive feature of the book is that it is based on a coherent framework. More precisely, the authors first present a general procedure for developing blind source separation methods. Then, all reported methods are defined with respect to this procedure. This allows the reader not only to more easily follow the description of each method but also to see how these methods relate to one another. The coherence of this book also results from the fact that the same notations are used throughout the chapters for the quantities (source signals and so on) that are used in various methods. Finally, among the quite varied types of processing methods that are presented in this book, a significant part of this description is dedicated to methods based on artificial neural networks, especially recurrent ones, which are currently of high interest to the data analysis and machine learning community in general, beyond the more specific signal processing and blind source separation communities.
Author: Yong Xiang Publisher: Springer ISBN: 9812872272 Category : Technology & Engineering Languages : en Pages : 101
Book Description
This book provides readers a complete and self-contained set of knowledge about dependent source separation, including the latest development in this field. The book gives an overview on blind source separation where three promising blind separation techniques that can tackle mutually correlated sources are presented. The book further focuses on the non-negativity based methods, the time-frequency analysis based methods, and the pre-coding based methods, respectively.
Author: Pierre Comon Publisher: Academic Press ISBN: 9780123747266 Category : Computers Languages : en Pages : 831
Book Description
Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and audio, acoustic and speech processing. Going beyond a machine learning perspective, the book reflects recent results in signal processing and numerical analysis, and includes topics such as optimization criteria, mathematical tools, the design of numerical algorithms, convolutive mixtures, and time frequency approaches. This Handbook is an ideal reference for university researchers, R&D engineers and graduates wishing to learn the core principles, methods, algorithms, and applications of Blind Source Separation. Covers the principles and major techniques and methods in one book Edited by the pioneers in the field with contributions from 34 of the world's experts Describes the main existing numerical algorithms and gives practical advice on their design Covers the latest cutting edge topics: second order methods; algebraic identification of under-determined mixtures, time-frequency methods, Bayesian approaches, blind identification under non negativity approaches, semi-blind methods for communications Shows the applications of the methods to key application areas such as telecommunications, biomedical engineering, speech, acoustic, audio and music processing, while also giving a general method for developing applications
Author: Luis B. Almeida Publisher: Morgan & Claypool Publishers ISBN: 1598290304 Category : Blind source separation Languages : en Pages : 115
Book Description
"The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. The author reviews the main nonlinear separation methods, including the separation of post-nonlinear mixtures, and the MISEP, ensemble learning and kTDSEP methods for generic mixtures. These methods are studied with a significant depth. A historical overview is also presented, mentioning most of the relevant results, on nonlinear blind source separation, that have been presented over the years."--BOOK JACKET.
Author: Publisher: Transportation Research Board ISBN: 0309129338 Category : Technology & Engineering Languages : en Pages : 96
Book Description
" TRB's second Strategic Highway Research Program (SHRP 2) Report S2-R06A-RR-1: Nondestructive Testing to Identify Concrete Bridge Deck Deterioration identifies nondestructive testing technologies for detecting and characterizing common forms of deterioration in concrete bridge decks.The report also documents the validation of promising technologies, and grades and ranks the technologies based on results of the validations.The main product of this project will be an electronic repository for practitioners, known as the NDToolbox, which will provide information regarding recommended technologies for the detection of a particular deterioration. " -- publisher's description.
Author: Vincent Krause
Author: Vincent Krause
Author: Xianchuan Yu
Author: Ganesh R. Naik
Author: Yannick Deville
Author: Yong Xiang
Author: Pierre Comon
Author: 
Author: Pierre Comon
Author: Luis B. Almeida
Author: