基于TM影像的聊城地区植被信息的自动提取  

The Research on the Method of Automatically Extracting Vegetation Information of Liaocheng Area Based on TM Image

作　　者：马雪梅[1] 许国强[1] 李希峰[2] 

机构地区：[1]聊城大学环境与规划学院,山东聊城252059 [2]聊城大学建筑工程学院,山东聊城252059

出　　处：《聊城大学学报（自然科学版）》2008年第4期72-75,共4页Journal of Liaocheng University:Natural Science Edition

基　　金：聊城大学基金项目(X061032)

摘　　要：基于主成分分析和归一化植被指数NDVI的计算,得出聊城市TM影像的波段信息、各主成分分量及归一化植被指数的相关系数,从而找到相关系数最小的三个波段,利用该组合波段对图像进行分类,得出聊城地区绿地信息专题图.实验结果表明该方法提高了遥感影像绿地信息提取的自动化程度和精度.The correlation coefficient of TM bands, the principal components and NDVI were obtained based on principal components analysis and normalized vegetation index NDVI. The three combined bands was found which has the minximums of the correlation coefficient by calculating. Finally,the three combined bands is introduced for the classification of the imagery,and Liaocheng city vegetation information special chart was obtained. Experiment proves that this method is more effective with an automation high accuracy obtained.

关 键 词：聊城 植被指数 主成分分析 相关系数 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] Q948.152[自动化与计算机技术—控制科学与工程]