Change Monitoring of Urban Typical Facilities for Remote Sensing Images Fusion

Most of the traditional remote sensing image change detection adopts the band ratio method and the image difference method. This type of method is simple to operate, and only the image pixel difference value and the band ratio value are used for calculation, and the detection accuracy cannot be guaranteed. Aiming at this problem, this paper proposes a kind of spectral product-based fusion algorithm based on algebraic weighting. The algorithm combines the ratio image and the difference image, and then selects the Ostu algorithm to iteratively calculate the fusion to extract the image change region. The experimental results show that the detection accuracy of this method is better than the traditional change detection method, and it has certain stability and intelligence.