Using Gaussian Mixture Model to Detect Changes for High-Resolution Satellite Images

In modern times, human civilization's settlement landscapes and patterns are changing rapidly because of the growth of human population, acceleration of urbanization and the application of varied technologies. Keep detecting and assessing these changes and mastering the accurate information are quite important for civilized human development. High-resolution images provided by satellites are a good resource to use to observe and analyze landscapes changes. We suggest a detection method to identify landscape changes using high-resolution satellite images. This grid-based method is helpful in Bi-temporal change detection. By given two satellite images from the same area, it can identify changes accurately.