
Bayesian Compressive Sensing for Site Characterization
CRC Press
1st Edition
Will be published approx. on 12. December 2025
Book
Hardback
258 pages
978-1-032-45809-0 (ISBN)
Description
Site characterization is indispensable to good geotechnical or rock engineering practice as every site is unique, but technical, budget, time, or access constraints typically result in only a tiny fraction of the underground soil and rock in a site being visually inspected, sampled, or tested. This leads to a long- lasting challenge of sparse measurements in geo- sciences and engineering. This book introduces Bayesian compressive sensing or sampling (BCS) as a highly efficient spatial data analytic and simulation method for the efficient modelling of spatial geo- data from sparse measurements, with quantified reliability and uncertainty to further optimize site characterization. It provides the necessary theory and computational tools for setting up and solving a sparse spatial data modeling problem using BCS.
This book suits graduate students, academics, researchers, and engineers interested in site characterization from sparse measurements in geotechnical and rock engineering, and also those modeling other spatially varying phenomena such as air quality data, soil or water pollution data, and meteorological data. This is supplemented with a software called Analytics of Sparse Spatial Data using Bayesian compressive sampling/ sensing and illustrative examples, and enables hands- on experience of spatial data analytics and simulation using sparse measurements.
This book suits graduate students, academics, researchers, and engineers interested in site characterization from sparse measurements in geotechnical and rock engineering, and also those modeling other spatially varying phenomena such as air quality data, soil or water pollution data, and meteorological data. This is supplemented with a software called Analytics of Sparse Spatial Data using Bayesian compressive sampling/ sensing and illustrative examples, and enables hands- on experience of spatial data analytics and simulation using sparse measurements.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Postgraduate and Professional
Illustrations
142 farbige Abbildungen, 2 s/w Photographien bzw. Rasterbilder, 24 Farbfotos bzw. farbige Rasterbilder, 6 s/w Zeichnungen, 118 farbige Zeichnungen, 18 s/w Tabellen, 8 s/w Abbildungen
18 Tables, black and white; 118 Line drawings, color; 6 Line drawings, black and white; 24 Halftones, color; 2 Halftones, black and white; 142 Illustrations, color; 8 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 20 mm
Weight
587 gr
ISBN-13
978-1-032-45809-0 (9781032458090)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Yu Wang | Tengyuan Zhao | Yue Hu
Bayesian Compressive Sensing for Site Characterization
E-Book
12/2025
1st Edition
CRC Press
€231.99
Available for download

Yu Wang | Tengyuan Zhao | Yue Hu
Bayesian Compressive Sensing for Site Characterization
E-Book
12/2025
1st Edition
CRC Press
€231.99
Available for download
Persons
Yu Wang is Professor of Geotechnical Engineering at the Hong Kong University of Science and Technology, Hong Kong.
Tengyuan Zhao is Associate Professor of Geotechnical and Geological Engineering at Xi'an Jiaotong University, China.
Yue Hu is Humboldt Postdoctoral Fellow at Leibniz Universitaet Hannover, Germany.
Zheng Guan is Assistant Professor of Geotechnical Risk Assessment and Management at Delft University of Technology in the Netherlands.
Kok-Kwang Phoon is Cheng Tsang Man Chair Professor and President at Singapore University of Technology and Design (SUTD). He has twice won the American Society of Civil Engineers Norman Medal and is founding editor of the journal Georisk.
Tengyuan Zhao is Associate Professor of Geotechnical and Geological Engineering at Xi'an Jiaotong University, China.
Yue Hu is Humboldt Postdoctoral Fellow at Leibniz Universitaet Hannover, Germany.
Zheng Guan is Assistant Professor of Geotechnical Risk Assessment and Management at Delft University of Technology in the Netherlands.
Kok-Kwang Phoon is Cheng Tsang Man Chair Professor and President at Singapore University of Technology and Design (SUTD). He has twice won the American Society of Civil Engineers Norman Medal and is founding editor of the journal Georisk.
Author
City University of Hong Kong, Hong Kong
Xi'an Jiaotong University, China
National University of Singapore, Singapore
University of Macau, Macau, People's Republic of China
Singapore University of Technology and Design, Singapore
Content
1. Introduction 2. Compressive Sensing (CS) 3. Analytics of sparse spatial data by BCS 4. Simulation of sparse spatial data 5. Sample size determination for site characterization 6. Adaptive sampling in site characterization 7. Software ASSD-BCS 8. Future Research and Challenges