Iterative spatial filtering for reducing intra-class spectral variability and noise

Intra-class variability and noise are obstacles that obscure subtle differences between spectral classes in hyperspectral imagery. This paper presents an iterative adaptive smoothing filter (IAS), which considers inherent spatial characteristics of image classes and the assumed random nature of pixe...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Rogge, D M, Rivard, B
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptive filters Anisotropic magnetoresistance Hypersepctral Hyperspectral imaging intra-class variability Pixel Reflectivity Signal to noise ratio spatial filtering
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