Advantages and Pitfalls of Pattern Recognition - 1st Edition - ISBN: 9780128118429

Advantages and Pitfalls of Pattern Recognition, Volume 3

1st Edition

Selected Cases in Geophysics

Authors: Horst Langer Susanna Falsaperla Conny Hammer
Paperback ISBN: 9780128118429
Imprint: Elsevier
Published Date: 2nd December 2019
Page Count: 350
Sales tax will be calculated at check-out Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Table of Contents

Part I: From Data to Methods
1. Patterns, Objects, and Features
2. Supervised Learning
3. Unsupervised Learning

Part II: Example Applications
5. Applications with Supervised Learning
6. Applications with Unsupervised Learning

Part III: A Posteriori Analysis
9. What is a Failure? A-posteriori Analyses - Advantages and Pitfalls of Pattern Recognition Techniques
10. Software Manuals


Description

Pattern Recognition: Applications in Geosciences, volume three in the Computational Geophysics series, highlights the advantages of pattern recognition and classification methods and examines potential pitfalls and failures that can arise. The handling of data is a typical problem of multivariate analysis in which pattern recognition techniques can offer a suitable key for the processing and extraction of useful information. This book investigates both supervised techniques, such as linear discrimination, and unsupervised techniques, including various concepts of clustering. All approaches are extensively discussed, including example applications and an introduction to available software packages.

This book comprises the formulation of the problem, the choice of suitable features and strategies, and a discussion of the results, thus making it an ideal reference for researchers looking to apply these techniques to their field of geophysics.

Key Features

  • Offers real-world examples of techniques for pattern recognition and handling multivariate data from a variety of geophysical fields
  • Includes examples of applications and diagrams to enhance understanding of pattern recognition techniques
  • Provides an introduction to relevant software packages, such as TREmOREC and KKAnalysis

Readership

Geophysicists, Geochemists, Geologists, Geographers, Data Analysts


Details

No. of pages:
350
Language:
English
Copyright:
© Elsevier 2020
Published:
Imprint:
Elsevier
Paperback ISBN:
9780128118429

Ratings and Reviews


About the Authors

Horst Langer Author

Horst Langer studied Geology and Geophysics at the University of Stuttgart, where he graduated in 1982. He received his PhD with a seismological thesis at the same University in 1986. From 1983 to 1992 he worked there as a researcher and lecturer. His research activities focused on seismicity, seismotectonics, strong ground motion simulation and volcano seismology. From 1999 on he worked at the “Sistema Poseidon” as a researcher in the field of seismology, passing to the Istituto Nazionale di Geofisica e Vulcanologia – Osservatorio Etneo in 2001, where he now holds a position as senior researcher. His current research covers a wide field of seismological topics, such as strong ground motion problems, seismicity and seismotectonics, the identification of the three-dimensional velocity structure, the assessment of significance and stability of seismic inversion.

Affiliations and Expertise

Seismologist/Senior Researcher, Instituto Nazionale di Geofisicae Vulaologia, Italy

Susanna Falsaperla Author

From 2001 to present, Dr. Falsaperla has been a Senior Researcher at Istituto Nazionale di Geofisica e Vulcanologia (INGV), sezione di Catania, Osservatorio Etneo, Italy. She has been Co-chair of the World Organization of Volcano Observatories (WOVO.org) since October 2011. From 1984 to 2000, she was a researcher at the Istituto Internazionale di Vulcanologia of Catania, department of Consiglio Nazionale delle Ricerche (CNR). She has 31 years’ experience in volcano seismology and in seismic monitoring and surveillance activities of southern Italy and has been engaged as an expert volcano seismologist in volcano and seismic crises at Mt. Etna, Stromboli, and Vulcano from 1990s on. Her broad interests lie in the geology and geophysics of active volcanic systems and she is the author of several papers on the application of artificial neural networks and multivariate statistics to seismic data - recorded at Stromboli, Etna and Soufrierè Hills volcanoes - and on integrated geophysical and geochemical time series investigations of volcanic systems undergoing unrest.

Affiliations and Expertise

Seismologist/Senior Researcher, Instituto Nazionale di Geofisicae Vulaologia, Italy

Conny Hammer Author

Conny Hammer studied Geophysics at the University of Potsdam where she graduated in 2007. In 2012 she received her PhD at the same University with a seismological thesis. From 2012 to 2014 she continued in postdoctoral positions adapting her work to alternative datasets such as seismic events related to ice-movements using data from Antarctica. The generality of the developed pattern recognition approach led to a close collaboration with other researchers over the last years. Currently Conny Hammer holds a research position at the Swiss Seismological Service (SED) at ETH Zurich where she worked on the automatic recognition of different mass movements (e.g. snow avalanches, rockfalls) in the Swiss Alps.

Affiliations and Expertise

Seismologist/Researcher, Swiss Seismological Service (SED), Switzerland