Application of Principal Component Extraction technique in processing cloud images from Chinese FY-1 satellite

Author

Wang, Zhenhui ; Pei, Xiaofang

Author_Institution

Sch. of Remote Sensing, Nanjing Univ. of Inf. Sci. & Technol., Nanjing

fYear

2009

fDate

11-12 April 2009

Firstpage

18

Lastpage

21

Abstract

Principal component extraction technique is employed to process cloud images from 10-channel radiometer onboard the Chinese FY-1 polar-orbiting meteorological satellites. The results suggest that the consensus technique can concentrate the prominent distribution features of the grey shades of the targets, including clouds, landform and oceans shown on the 10 channel images into a single image which can be then used as a background image in further synoptic system analysis and weather map overlapping.

Keywords

artificial satellites; clouds; feature extraction; geophysical signal processing; image enhancement; principal component analysis; radiometers; remote sensing; Chinese FY-1 satellite image; channel radiometer; cloud image processing; grey shade distribution feature; image feature enhancement; polar-orbiting meteorological satellite; principal component extraction technique; satellite-based remote sensing; Clouds; Data mining; Image analysis; Land surface; Meteorology; Oceans; Principal component analysis; Radiometry; Remote monitoring; Satellite broadcasting; FY-1; Principal Component; image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on

Conference_Location

Taizhou

Print_ISBN

978-1-4244-3987-4

Type

conf

DOI

10.1109/IASP.2009.5054569

Filename

5054569