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Dimensionality Reduction of Hyperspectral Imagery

This book provides information about different types of dimensionality reduction (DR) methods and their effectiveness in hyperspectral data processing. The authors first explain how hyperspectral imagery (HSI) plays an important role in remote sensing due to its high spectral resolution that enables...

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Dettagli Bibliografici
Autori principali: Paul, Arati (Autore), Chaki, Nabendu (Autore)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer International Publishing : Imprint: Springer, 2024.
Edizione:1st ed. 2024.
Soggetti:
Signal processing.
Image processing > Digital techniques.
Computer vision.
Computational intelligence.
Geographic information systems.
Signal, Speech and Image Processing.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computational Intelligence.
Geographical Information System.
Accesso online:https://doi.org/10.1007/978-3-031-42667-4
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Sommario:
  • Introduction
  • Remote sensing
  • Digital image processing
  • Hyperspectral image characteristics
  • Dimensionality reduction
  • Dataset description
  • Pooling based band extraction
  • Ranking based band selection
  • Band optimization
  • Data Driven approach
  • Conclusion.

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