A new decomposing approach of analyzing remotely sensed digital image

Author

Li Xianhua

Author_Institution

Zhejiang Univ., Hangzhou

Volume

1

fYear

2001

fDate

2001

Firstpage

308

Abstract

A new method to decompose digital remotely sensed images is discussed in this paper. The information in the original remotely sensed data can be decomposed, pixel-by-pixel, into three components of natural light - solar direct illuminance (SDI), sky-scattering illuminance (SSI) and atmospheric path radiance (APR). Because the remotely sensed information is the result of the interaction between each component and ground features, the resultant component images of this method are more powerful than the original remotely sensed data in the quantitative inversion research of ground radiation energy, atmospheric environment condition, and remote sensing image pattern recognition

Keywords

geophysical signal processing; image recognition; remote sensing; sky brightness; atmospheric environment condition; atmospheric path radiance; ground radiation energy; image decomposition; image pattern recognition; quantitative inversion research; remotely sensed digital image; sky-scattering illuminance; solar direct illuminance; Atmospheric waves; Brightness; Digital images; Frequency; Image analysis; Image decomposition; Pattern recognition; Remote sensing; Surface topography; USA Councils;

fLanguage

English

Publisher

ieee

Conference_Titel

Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on

Conference_Location

Beijing

Print_ISBN

0-7803-7010-4

Type

conf

DOI

10.1109/ICII.2001.982764

Filename

982764