针对传统变化检测方法存在的缺陷,将最小噪声比率变换(Minimum Noise Fraction, MNF)和多元变化检测(Multivariate Alteration Detection, MAD)方法应用于东营市城市扩展分析.从MNF和MAD变换获得的影像中提取的二值图像可知,检测结果总体精度达到90.1 ,Kappa系数为0.802,证明了本文方法在变化区域检测方面的可操作性和有效性.-Traditional change detection methods for defects, the minimum noise fraction transformation (Minimum Noise Fraction, MNF) and multi-change detection (Multivariate Alteration Detection, MAD) method is applied to expansion of the city of Dongying City. From the MNF and the MAD transform images obtained extracted binary image known, the overall accuracy of test results 90.1 , Kappa coefficient was 0.802, which proves that the method proposed in testing the operability and effectiveness aspects.