Using factor analysis to Reduction Dimensional of Satellite Images

Abstract

Factor Analysis is a statistical technique used for dimensions reduction and reduced redundant data by extracting the correlations between individuals to reveal the hidden structure of the studied problem, So, in this research we suggested using Factor Analysis as a statistical technique to reduce image dimensions for reconstruction a new image form multispectral image,  The results proved the efficiency of this technique in providing high quality low dimension  images based on the value of Peak Signal to Noise Ratio (PSNR) that measured to the new image, At the same time, ability of this technique to reduce dimensions while preserving the basic characteristics of the image has been confirmed.