The research on land use change detection by using direct classification of stacked multitemporal TM images
运用多时相直接分类法对土地利用进行遥感动态监测的研究

The land use changes in Anshun City,Guizhou Province from 1987 to1995 were detected by using direct classification of stacked multitemporal TM images. Compared with other methods,such as postclassification comparison and pixel to pixel comparison methods,the change detection algorithm used herein can not only bypass the illogical error,but also obtain the “ from to” information directly.The results showed the difference or ratio bands had poor classification accuracy(overall accuracy equal approximately to 30％ ～ 40％ ),while those bands could well inherited the original ones achieved better accuracy(overall accuracy>70％ ).In addition,the different radiometric rectification methods could affect the accuracy of change detection to a large degree,the preliminary research indicated that the dark set bright set method might improve the accuracy by 16.6％ in comparison with the histogram algorithm.Also,our results indicated that the study area had experienced some notable land use changes during 8 years,such as urban expansion,cultivated land encroachment and spatial change of vegetable land.