基于Hyperion数据的森林叶绿素含量反演  

Leaf Chlorophyll Content Retrieval from Hyperspectral Remote Sensing Images

作　　者：杨曦光[1] 范文义[1] 于颖[1] 

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《东北林业大学学报》2010年第6期123-124,135,共3页Journal of Northeast Forestry University

基　　金：国家高技术研究发展计划"863"(2006AA12Z104)资助

摘　　要：利用高光谱分辨率的Hyperion数据进行叶绿素含量的分步反演。首先建立叶片水平叶绿素含量反演模型,然后在Hyperion数据处理的基础上利用几何光学模型4-scale,结合查找表的方法,将Hyperion数据的像元反射率转化为叶片反射率,从影像上反演叶片水平的叶绿素含量。结果表明,采用分步反演得到叶片水平叶绿素浓度的方法效果较好,反演的结果与地面实测值之间的相对误差为16.27691,精度达到79.6593%。A study on retrieval of leaf chlorophyll content was conducted step by step using Hyperion data. First,leaf chlorophyll content inversion model was established. Then,based on Hyperion data processing,the pixel reflectance was converted into leaf reflectance by geometrical-optical model named＂4-Scale＂and look-up table. Finally,leaf chlorophyll content was estimated from images. Result indicated that the leaf chlorophyll content inversion model could fit the measured data well with a precision of 79. 659 3% ,and the root mean squared error was 16. 2769 1.

关 键 词：高光谱遥感 叶绿素 HYPERION 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]