作　　者： ; ; ; ; ;

机构地区： 广州大学地理科学学院

出　　处： 《林业资源管理》 2010年第6期97-101,共5页

摘　　要： 以混合像元分解提取植被丰度作为主要手段,研究基于广州市区东边建成区的Hyperion高光谱遥感影像,以遥感影像预处理—特征选择—SMACC混合像元分解的步骤提取出植被丰度图,再进行PPI迭代运算纯化,提取出7种表征植被健康状况差异端元的PPI影像。经实地考察植被胁迫位置的周边人类活动的情况,结合植物生理学和光谱学分析反射率波谱曲线的变化,解释植物受到胁迫的原因,以期为城市绿地调查管理提供参考。 This study is mainly based on mixed pixel decomposing to extract vegetation abundance.The Hyperion hyperspectral remotely sensed image was used for eastern part of Guangzhou City.The steps such as image preprocessing,feature extraction and SMACC mixed pixel decomposing were taken to obtain vegetation abundance images.Furthermore the PPI iteration was used to purify these images,and then 7 kinds of vegetation endmembers which present defferent health state extracted.On-site survey was conducted to check out the human activities around the vegetation stress area,combined with other discipline just as plant physiology and spectroscopy to analyze the plant reflectance spectral curve changes and explain the causes.The research provides accurate information for urban green space survey and management.

关 键 词： 植被胁迫 特征提取 混合像元分解 植被丰度

领　　域： [自动化与计算机技术] [自动化与计算机技术]