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基于数据分割与主成分分析的LAI遥感估算

Estimating leaf area index from remote sensing data: based on data segmentation and principal component analysis

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摘要

针对叶面积指数(LAI)经典统计反演模型存在估算效果不理想以及反演效率低等问题, 提出了一种基于农学物候的数据分割与主成分分析结合的遥感估算方法.综合了原始光谱和微分(或差分)光谱主成分信息作为自变量, 融入了以农学物候为先验的数据分割思想, 并引入了多尺度建模方式参与反演过程.以冬小麦为实验对象, 进行数值模拟和比较分析.结果显示, 该方法既能有效地提高整体估算精度, 又能显著地改善数据饱和问题, 且在全样本遍历时体现了稳定鲁棒性.

Abstract

According to the unsatisfactory and lower efficiency of classical statistical models in leaf area index (LAI) estimation, a new inversion method combined with phenology-based data segmentation and principal component analysis was proposed in this paper. In the method, principal components of spectral data and differential (or difference) spectral data were chosen as independent variables, and phenology-based data segmentation was integrated into data processing in order to improve estimation accuracy. In addition, multi-scale was involved in modeling. Winter wheat was selected as experimental object for numerical simulation and comparative analysis. Results not only showed high precision in whole estimation and effectively improved data saturation, but also manifested stability and robustness under full scan.

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中图分类号:TP79

基金项目:国家自然科学基金项目(40701120); 国家863计划项目(2006AA120108); 北京市自然科学基金项目(4092016); 北京市科技新星计划(2008B33)

收稿日期:2010-05-24

修改稿日期:2010-10-09

网络出版日期:0001-01-01

作者单位    点击查看

董莹莹:浙江大学 农业遥感与信息技术应用研究所, 浙江 杭州 310029国家农业信息化工程技术研究中心, 北京 100097
王纪华:浙江大学 农业遥感与信息技术应用研究所, 浙江 杭州 310029国家农业信息化工程技术研究中心, 北京 100097
李存军:国家农业信息化工程技术研究中心, 北京 100097
杨贵军:国家农业信息化工程技术研究中心, 北京 100097
宋晓宇:国家农业信息化工程技术研究中心, 北京 100097
顾晓鹤:国家农业信息化工程技术研究中心, 北京 100097
黄文江:国家农业信息化工程技术研究中心, 北京 100097

联系人作者:董莹莹(cici5201@163.com)

备注:董莹莹(1984-), 女, 山东淄博人, 博士研究生, 主要研究方向为农业遥感与信息技术

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引用该论文

DONG Ying-Ying,WANG Ji-Hua,LI Cun-Jun,YANG Gui-Jun,SONG Xiao-Yu,GU Xiao-He,HUANG Wen-Jiang. Estimating leaf area index from remote sensing data: based on data segmentation and principal component analysis[J]. Journal of Infrared and Millimeter Waves, 2011, 30(2): 124-130

董莹莹,王纪华,李存军,杨贵军,宋晓宇,顾晓鹤,黄文江. 基于数据分割与主成分分析的LAI遥感估算[J]. 红外与毫米波学报, 2011, 30(2): 124-130

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