Abstract: Because of actual demand of land use change supervision, a method for quick detection of land use change is presented. This is the analysis of the remotely sensed imagery that is overlapped with corresponding land-use map. The image is segmented by pattern spots in the presented land-use map, and the gray level of pixel of every segment unit is obtained by statistics and analysis. Then, the land use of pattern spot is judged whether it has changed. Finally, the changed pattern spots in remotely sensed imagery are extracted. The high-resolution remotely sensed imagery of 2013 and present land-use map of 2012 from a certain county are selected as an example to extract the section. Results showed that among 938 experiment pattern spots, 12 pattern spots are judged to be changed, among 12 pattern spots, eight of them are changed actually, four of them are not changed actually, and no actually changed pattern spots are ignored. The experiment showed that the method could quickly and effectively detect and extract the information of land use change, especially was suit for the situation of farmland which was changed to be construction land.