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
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;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2008.2004214
