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Image Analysis, Classification and Change Detection in Remote Sensing
With Algorithms for Python, Fourth Edition
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Image Analysis, Classification and Change Detection in Remote Sensing
$11100
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
This text is suitable for advanced students, researchers, and professionals in remote sensing, image processing, and data science, particularly those with an interest in statistical methods, machine learning, and programming in Python for environmental and earth observation applications.
This fourth edition is focused on the development and implementation of statistically motivated, data-driven techniques through a tight interweaving of statistical and machine learning theory with algorithms and computer codes. The material is self-contained and illustrated with many programming examples. It includes Wishart and Python.
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery. It features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. The book develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery, including wavelet transformations, kernel methods for nonlinear classification, as well as an introduction to deep learning in the context of feed-forward neural networks.
New in the Fourth Edition:
- An in-depth treatment of a recent sequential change detection algorithm for polarimetric SAR image time series.
- The accompanying software consists of Python (open source) versions of all of the main image analysis algorithms.
- Presents easy, platform-independent software installation methods (Docker containerization).
- Utilizes freely accessible imagery via the Google Earth Engine and provides many examples of cloud programming (Google Earth Engine API).
- Examines deep learning examples including TensorFlow and provides a sound introduction to neural networks.
Based on the success and reputation of the previous editions, and compared to other textbooks in the market, Professor Cantyβs fourth edition differs in the depth and sophistication of the material treated, as well as in its consistent use of computer codes to illustrate the methods and algorithms discussed. It is self-contained and illustrated with many programming examples, all of which can be conveniently run in a web browser. Each chapter concludes with exercises complementing or extending the material in the text.
Book Details
INFORMATION
ISBN: 9781032475745
Publisher: Taylor & Francis Ltd
Format: Paperback / softback
Date Published: 21 January 2023
Country: United Kingdom
Imprint: CRC Press
Edition: 4th edition
Audience: General / adult, Tertiary education
DIMENSIONS
Width: 156.0mm
Height: 234.0mm
Weight: 1320g
Pages: 532
About the Author
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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