DocumentCode
960863
Title
Comments on “A New Operational Method for Estimating Noise in Hyperspectral Images”
Author
Martín-Herrero, Julio
Author_Institution
Dept. of Signal Theor. & Commun., Vigo Univ., Vigo
Volume
5
Issue
4
fYear
2008
Firstpage
705
Lastpage
709
Abstract
In their paper, Gao estimate the additive noise in hyperspectral images by computing the standard deviation of regression residuals. They perform multiple linear regression within spectrally homogeneous regions, which they obtain by means of an ldquoobject-seekingrdquo algorithm. This letter shows that the segmentation algorithm is not correct, discusses how this affects the noise estimate, and proposes a correct algorithm that, additionally, decreases the computational load of the method.
Keywords
geophysical signal processing; image denoising; regression analysis; remote sensing; additive noise estimation; hyperspectral image noise estimation; multiple linear regression; object seeking algorithm; regression residual standard deviation; Hyperspectral images; noise estimation; region growing; segmentation;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2008.2004214
Filename
4656466
Link To Document