基于主成分分析的土地利用遥感动态监测研究

Remote sensing plays an important role in the dynamic monitoring of land because of its multi-temporal and high-resolution data. The Principal Component Analysis (PCA)can be used to process multi-temporal data to automatically detect land using change information with a good precision. In this paper, based on discussing the current methods, taking Xuzhou as the example,combined the various data processing methods and explored a effective way superior to the traditional principal components analysis,and quickly, automatically detected land use change. The result shows that this method improve the precision of extracting change information.