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...

Full description

Bibliographic Details

Published in:	2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing pp. 1 - 4
Main Authors:	Rogge, D M, Rivard, B
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-06-2010
Subjects:	Adaptive filters Anisotropic magnetoresistance Hypersepctral Hyperspectral imaging intra-class variability Pixel Reflectivity Signal to noise ratio spatial filtering
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!