关键词: 最小噪声分离（MNF）, Canny算子, 边缘检测, 变化检测, 遥感影像

Abstract: In view of the requirement of change detection for multi-temporal remote sensing images in large area, a method of Canny edge detection based on Minimum Noise Fraction（MNF） is proposed to extract image change information. Firstly, multi-temporal images use a variety of transformation combined with multidimensional information band images, and then use the MNF of noise and single band difference map by Canny edge detection method to calculate the gradient amplitude, the level of the dual threshold method to extract edge thinning, the difference map change edge, highlight the change information effectively. The remote sensing images in 1995 and 2003 Nianjiazhale River as an example, it uses two images for land cover change detection. The experimental results show that this method is suitable for monitoring the mutation of large area terrain, the minimum noise based on data separation can effectively solve the pseudo edge phenomenon caused by the edge detection of the traditional Canny edge detection, and the level of the dual threshold method to remove false edge points, so as to obtain more accurate detection results, intuitive changes. It has good application value in monitoring the change of geographical conditions, natural disaster monitoring etc.

Key words: Minimum Noise Fraction（MNF）, Canny operator, edge detection, change detection, remote sensing image