Image analysis, classification, and change detection in remote sensing with algorithms for Python
"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 programmi...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Boca Raton, London, New York
CRC Press, Taylor & Francis Group
2019
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| Ausgabe: | Fourth edition |
| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis |
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Tag hinzufügen | Zusammenfassung: | "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. New in the fourth edition is an in-depth treatment of a recent Wishart distribution-based sequential change detection algorithm for polarimetric SAR image time series, as well as an introduction to deep learning in the context of supervised land-use classification. It includes Python (open source) versions of all of the main image analysis algorithms making it accessible to all readers"-- |
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| Beschreibung: | Literaturverzeichnis: Seite 489-500 |
| Beschreibung: | xxi, 509 Seiten Illustrationen, Diagramme |
| ISBN: | 9781138613225 978-1-138-61322-5 1138613223 1-138-61322-3 |