A new method of principal component extraction for remote sensing image based on auto-association\nneural network is presented in this paper. The proposed method is applied to the image data compression

feature\nextraction and filtering. Experiments show that auto-association neural network for extracting the principal\ncomponents of the image is as good as the conventional K-L transform.