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

613 kr
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Om denne bog

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 Canty’s 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.

    Product detaljer
    Sprog:
    Engelsk
    Sider:
    532
    ISBN-13:
    9781032475745
    Indbinding:
    Paperback
    Udgave:
    4
    ISBN-10:
    1032475749
    Udg. Dato:
    21 jan 2023
    Længde:
    27mm
    Bredde:
    235mm
    Højde:
    155mm
    Forlag:
    Taylor & Francis Ltd
    Oplagsdato:
    21 jan 2023
    Forfatter(e):
    Kategori sammenhænge