Converting DN value to reflectance directly by relative radiometric normalization

Author

Hu, Changmiao ; Tang, Ping

Author_Institution

Inst. of Remote Sensing Applic., Beijing, China

Volume

3

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

1614

Lastpage

1618

Abstract

An automatic algorithm for relative radiometric normalization is presented. It directly normalizes the digital numbers (DN) of images band-by-band to surface reflectance. A united linear relationship from DN of target images to surface reflectance of reference images is derived and the applicable conditions are given. The iteratively re-weighted multivariate alteration detection (IR-MAD) transformation is used to select pseudo-invariant features (PIFs) automatically. The procedure is simple, fast and completely automatic. The algorithm is applied to normalize two Landsat TM images, and the result is satisfactory in both accuracy and consistency.

Keywords

iterative methods; microwave imaging; radiometry; remote sensing; Landsat TM images; automatic algorithm; digital numbers value conversion; images band-by-band; iteratively reweighted multivariate alteration detection transformation; pseudo-invariant features; reference images surface reflectance; relative radiometric normalization; united linear relationship; Earth; Land surface; Radiometry; Reflectivity; Remote sensing; Satellites; Vegetation mapping; Multivariate Alteration Detection transformation; relative radiometric normalization; surface reflectance;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6100483

Filename

6100483