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Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition - Brossura
- EditoreCRC Press
- Data di pubblicazione2023
- ISBN 10 1032475749
- ISBN 13 9781032475745
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione4
- Numero di pagine532
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Image Analysis, Classification and Change Detection in Remote Sensing : With Algorithms for Python
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Image Analysis, Classification and Change Detection in Remote Sensing : With Algorithms for Python
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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 : With Algorithms for Python
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Image Analysis, Classification and Change Detection in Remote Sensing (Paperback)
Editore:
Taylor & Francis Ltd, London, 2023
ISBN 10: 1032475749
ISBN 13: 9781032475745
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Paperback. Condizione: new. Paperback. 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 and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It 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 a sound introduction to neural networks, Based on the success and the reputation of the previous editions and compared to other textbooks in the market, Professor Cantys 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781032475745
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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 : With Algorithms for Python
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Condizione: As New. Unread book in perfect condition. Codice articolo 45518594
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Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition
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Condizione: New. 2023. 4th Edition. paperback. . . . . . Codice articolo V9781032475745
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Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python
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Paperback. Condizione: Brand New. 4th edition. 532 pages. 9.19x6.13x1.10 inches. In Stock. Codice articolo __1032475749
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Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition
Editore:
Taylor & Francis Ltd, 2023
ISBN 10: 1032475749
ISBN 13: 9781032475745
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Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 185. Codice articolo B9781032475745
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