Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers

Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers

The definition of noise models suitable for hyperspectral data is slightly different depending on whether whiskbroom or push-broom are dealt with. Focussing on the latter type (e.g., VIRS-200) the noise is intrinsically non-stationary in the raw digital counts. After calibration, i.e. removing the v...

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Bibliographic Details
Main Authors: I. Pippi, P. Marcoionni, S. Baronti, A. Barducci, L. Alparone, B. Aiazzi, M. Selva
Format: Article
Language:English
Published: Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2006-06-01
Series:Annals of Geophysics
Subjects:
generalised Gaussian probability density function
heavy-tailed distributions
hyperspectral imagery
linear regression
noise modelling
Visible InfraRed Scanner (VIRS-200)
Online Access:http://www.annalsofgeophysics.eu/index.php/annals/article/view/3141

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http://www.annalsofgeophysics.eu/index.php/annals/article/view/3141

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