An automatic change detection method based on conditional random field (CRF) is presented for high resolution remote sensing images in this paper. Marginalized denoising autoencoder is used to generate the difference image. The clustering results of Fuzzy C-means are applied to initialize the unary potentials of CRF. A scaled squared Euclidean distance between neighboring pixels in the observed images is introduced to define the pairwise potentials of CRF, which avoid training parameters and help improve the accuracy and the degree of automation. The experimental results obtained on different remote sensing images demonstrated the accuracy and efficiency of our proposed method.