A New Operational Method for Estimating Noise in Hyperspectral Images

Author

Gao, Lian-Ru ; Zhang, Bing ; Zhang, Xia ; Zhang, Wen-Juan ; Tong, Qing-Xi

Author_Institution

Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing

Volume

5

Issue

1

fYear

2008

Firstpage

83

Lastpage

87

Abstract

A new method for estimating noise in hyperspectral images is described in this letter. Our method is based on the general internal regularity of Earth objects and the strong spectral correlation of hyperspectral images. It can be used to automatically estimate noise for both radiance and reflectance images. Unlike other methods discussed in this letter, our method is more reliable and adaptable, which we demonstrate using simulated images with different scene contents. Finally, we successfully applied this new method in estimating noise for pushbroom hyperspectral imager (PHI) data.

Keywords

geophysical signal processing; image processing; noise; remote sensing; Earth objects; image noise estimation; pushbroom hyperspectral imager; radiance images; reflectance images; spectral correlation; Earth; Hyperspectral imaging; Hyperspectral sensors; Layout; Linear regression; Optical noise; Reflectivity; Remote sensing; Signal to noise ratio; Stability; Hyperspectral; multiple linear regression; object-seeking algorithm; signal-to-noise ratio (SNR);

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2007.909927

Filename

4382930