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Image Analysis, Classification and Change Detection in Remote Sensing de Morton John Canty

Image Analysis, Classification and Change Detection in Remote Sensing

Autor Morton John Canty
en Limba Engleză Hardback – 3 iun 2025
The fifth edition of this core textbook in advanced remote sensing maintains the same theoretical material with necessary updates. The software tools have evolved substantially, and the fifth edition replaces Python 2 with Python 3 and uses the high-level packages based on it, such as Colab, Pytorch, KERAS, Scikit-Learn.
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Specificații

ISBN-13: 9781032821689
ISBN-10: 103282168X
Pagini: 552
Dimensiuni: 156 x 234 mm
Editura: Taylor & Francis Ltd.

Cuprins

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

Notă biografică

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.

Recenzii

"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