Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition

Author:   Morton John Canty (Juelich Research Center, Germany)
Publisher:   Taylor & Francis Ltd
Edition:   4th edition
ISBN:  

9781032475745


Pages:   532
Publication Date:   21 January 2023
Format:   Paperback
Availability:   In Print   Availability explained
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Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition


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Author:   Morton John Canty (Juelich Research Center, Germany)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Edition:   4th edition
Weight:   0.811kg
ISBN:  

9781032475745


ISBN 10:   1032475749
Pages:   532
Publication Date:   21 January 2023
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Images, Arrays, and Matrices. Image Statistics. Transformations. Filters, Kernels and Fields. Image Enhancement and Correction. Supervised Classification Part 1. Supervised Classification Part 2. Unsupervised Classification. Change Detection. Mathematical Tools. Efficient Neural Network Training Algorithms. Software

Reviews

The book presents a comprehensive exposition of the pixel based image analysis tools needed in a variety of remote sensing applications. It is the fourth edition of a book that first appeared in 2007. This rather rapid transition from one edition to the next is propelled by a parallel development in image analysis theory, in remote sensing platforms and advances in open source tools...The author has managed to encompass the relevant parts of this development in the present edition. ~Knut Conradsen, Technical University of Denmark


"""The book presents a comprehensive exposition of the pixel based image analysis tools needed in a variety of remote sensing applications. It is the fourth edition of a book that first appeared in 2007. This rather rapid transition from one edition to the next is propelled by a parallel development in image analysis theory, in remote sensing platforms and advances in open source tools...The author has managed to encompass the relevant parts of this development in the present edition."" ~Knut Conradsen, Technical University of Denmark"


Author Information

Morton John Canty is a senior research scientist in the Institute for Bio- and Geosciences at the Juelich Research Center in Germany, now semi-retired. He received his PhD in Nuclear Physics in 1969 at the University of Manitoba, Canada and, after post-doctoral positions in Bonn, Groningen and Marburg, began work in Juelich in 1979. There, his principal interests have been the development of statistical and gametheoretical models for the verification of international treaties and the use of remote sensing data for monitoring global treaty compliance. He has served on numerous advisory bodies to the German federal government and to the International Atomic Energy Agency in Vienna and was a coordinator within the European Network of Excellence on Global Monitoring for Security and Stability, funded by the European Commission. Morton Canty is the author of three monographs in the German language: on the subject of non-linear dynamics (Chaos und Systeme, Vieweg, 1995), neural networks for classification of remote sensing data (Fernerkundung mit neuronalen Netzen, Expert, 1999) and algorithmic game theory (Konfliktl¨osungen mit Mathematica, Springer 2000). The latter text has appeared in a revised English version (Resolving Conflicts withMathematica, Academic Press, 2003). He is co-author of a monograph on mathematical methods for treaty verification (Compliance Quantified, Cambridge University Press, 1996). He has published many papers on the subjects of experimental nuclear physics, nuclear safeguards, applied game theory and remote sensing. He has lectured on nonlinear dynamical growth models and remote sensing digital image analysis to students at both the graduate and undergraduate level at Universities in Bonn, Berlin, Freiberg/Saxony and Rome.

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