江西农业学报2016，Vol.28Issue(2)：85-89,5.
FY－3C／MERSI 卫星影像水稻信息自动提取的决策树方法研究
Study on Decision-tree Algorithm for Automatically Extracting Paddy Rice Information from FY-3C/MERSI Ima ges
摘要
Abstract
In order to promote the application of FY-3 series of satellite data in information extraction of paddy rice, the au-thor analyzed the spectral characteristics of paddy rice and other typical objects and the relationship among channels on FY-3C/MERSI image in Jiangxi province, and discussed the separability around objects on the spectral characteristics.The results showed the other typical objects could be separated from paddy rice on the basis of appropriate threshold besides vegetation.The spectral characteristics of paddy rice on every single channel was similar with the other vegetation, so the Normalized Difference Vegetation Index of vegetation was introduced to improve the extraction accuracy of paddy rice.According to the results of the research, the decision-tree model was established to automatically extract paddy rice information.Visual inspection showed that the extracting effect of this method was better, however, some pixels in the neighborhood area between paddy rice and other vegetation were judged by mistakes.Precision evaluation results showed that the overall extraction precision of this method was higher, the extrac-tion results could meet the demand of remote sensing monitoring of rice area in the growth period and yiejd forecast.关键词
FY-3C/MERSI/卫星影像/水稻/信息提取/决策树Key words
FY-3 C/MERSI/Satellite image/Paddy rice/Information extraction/Decision-tree algorithm分类
信息技术与安全科学引用本文复制引用
陈兴鹃,黄淑娥,祝必琴,樊建勇..FY－3C／MERSI 卫星影像水稻信息自动提取的决策树方法研究[J].江西农业学报,2016,28(2):85-89,5.基金项目
国家发改委项目“风云三号气象卫星应用系统二期工程应用示范系统”；江西省气象局面上项目“FY－3卫星资料对水稻长势遥感监测的应用研究”。 （）
