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

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.