Change detection using iteratively reweighted regression with neural networks

Abstract

A method for automatic identification of changes using regression with neural networks is presented. The regression is iteratively performed by updating the weights of the pixels. The method is applied to a small subset of two Landsat images and the results indicate that the proposed method produces good results.