Kernel-based methods for hyperspectral image classification

This paper presents the framework of kernel-based methods in the context of hyperspectral image classification, illustrating from a general viewpoint the main characteristics of different kernel-based approaches and analyzing their properties in the hyperspectral domain. In particular, we assess per...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2005-06, Vol.43 (6), p.1351-1362
Hauptverfasser:	Camps-Valls, G., Bruzzone, L.
Format:	Artikel
Sprache:	eng
Schlagworte:	AdaBoost Applied geophysics Earth sciences Earth, ocean, space Exact sciences and technology feature space hyperspectral classification Hyperspectral imaging Hyperspectral sensors Image analysis Image classification Internal geophysics Kernel kernel Fisher discriminant analysis kernel-based methods Kernels Mathematical models Neural networks Radial basis function networks radial basis function neural networks regularization Remote sensing Robustness Studies Support vector machine classification Support vector machines
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!