Title :
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
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;
Conference_Titel :
Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
Conference_Location :
Taizhou
Print_ISBN :
978-1-4244-3987-4
DOI :
10.1109/IASP.2009.5054569
