Image analysis, classification and change detection in remote sensing: with algorithms for Python

This resource 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 stati...

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Bibliographische Detailangaben
1. Verfasser: Canty, M. J. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Boca Raton ; London ; New York CRC Press 2022
Ausgabe:Fourth edition, first issued in paperback
Schlagworte:
Zusammenfassung:This resource 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
Beschreibung:This edition originally published: 2019
Beschreibung:xxi, 509 Seiten Illustrationen, Diagramme 24 cm
ISBN:9781032475745
9781138613225

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