Dynamic representation method of target in remote sensed images based on global subdivision grid

In the application of large remote sensed images, traditional method using vector expression is less effective when expressing geographic objects changing over time. This paper puts forward a new dynamic representation method based on global subdivision grid. An object in images with different phase is expressed by subdivision meshes, which changes can be detected by comparing their mesh codes. By only refreshing the changed image blocks, data traffic can be significantly reduced, thus consuming less time. Experiments are also designed and implemented, which results show that method in this paper could represent dynamic target on remote sensed images with good efficiency.