At present, with the development of remote sensing technology and UAV technology, high-resolution remote sensing image has become one of the main data sources for vegetation extraction due to its rich texture features and geometric features. How to accurately and quickly extract ground object information from high-resolution images has become a hot topic in computer vision, photogrammetry and GIS research in recent years. At present, it is extremely convenient to acquire high-resolution remote sensing image data, while the extraction of ground object information, especially the vegetation classification and the research on information extraction methods, is relatively backward, which largely depends on the traditional classification methods. This paper summarizes the research progress of remote sensing classification of uav vegetation at home and abroad.