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三因素及其交互作用对植物叶片多角度偏振高光谱特征的影响
引用本文:韩阳,李潜,赵云升,Yeqiao Wang,陈春林,张莉莉. 三因素及其交互作用对植物叶片多角度偏振高光谱特征的影响[J]. 红外与毫米波学报, 2010, 29(4): 316-320
作者姓名:韩阳  李潜  赵云升  Yeqiao Wang  陈春林  张莉莉
作者单位:1. 东北师范大学,城市与环境科学学院,吉林,长春,130024;罗得岛州大学,自然资源科学系,美国,金斯敦,02881
2. 东北师范大学,城市与环境科学学院,吉林,长春,130024;东北师范大学,国家环境保护湿地生态与植被恢复重点实验室,吉林,长春,130024
3. 东北师范大学,城市与环境科学学院,吉林,长春,130024
4. 罗得岛州大学,自然资源科学系,美国,金斯敦,02881
5. 吉林省国土资源勘测规划研究院,吉林,长春,130061
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:在反射、散射和透射电磁辐射的过程中,植物叶片表面将产生与它们自身性质有关的偏振特征,完全可以作为遥感信息中有价值的信息来源.多角度对地观测能获得更为详细可靠的地面目标三维空间结构参数,使定量遥感成为可能.对植物叶片的多角度偏振高光谱探测成为定量遥感中的一种新手段.在分析植被叶片的多角度偏振高光谱特征基础之上,设计了一个3因素2水平的正交试验.通过对实验数据的方差分析发现,偏振角、入射天顶角、叶绿素以及三个因素之间的交互作用都可以对植物叶片的偏振反射产生影响,偏振角和入射天顶角对植物叶片的影响特别显著,二者的交互作用也有显著的影响.因此在今后的研究中,既要考虑单因素本身对植被叶片的偏振反射的影响,还要考虑到交互作用所起到的影响.

关 键 词:多角度;偏振;高光谱;交互作用
收稿时间:2009-04-11
修稿时间:2009-09-28

Effects of Three Interactive Factors on the Multi-Angle Polarized Hyperspectrum of Vegetation leaves
HAN Yang,LI Qian,ZHAO Yun-Sheng,Yeqiao Wang,CHEN Chun-Lin and ZHANG Li-Li. Effects of Three Interactive Factors on the Multi-Angle Polarized Hyperspectrum of Vegetation leaves[J]. Journal of Infrared and Millimeter Waves, 2010, 29(4): 316-320
Authors:HAN Yang  LI Qian  ZHAO Yun-Sheng  Yeqiao Wang  CHEN Chun-Lin  ZHANG Li-Li
Affiliation:College of Urban and Environmental Science, Northeast Normal University,College of Urban & Environmental Science, Northeast Normal University,College of Urban & Environmental Science, Northeast Normal University,University of Rhode Island,Jilin Land Surveying and Planning Institute
Abstract:Polarized features come from the surface of vegetation leaves in the process of reflectance, scattering and transmission of electromagnetic radiation, which could be important information. It is possible for quantitative remote sensing that observation of multi-angle reflection can provide enhanced information from directional observations of an earth target. Reliable information of 3-D spatial structure has advantages than single directional observation for improving remote sensing technology. It is a new method for quantitative remote sensing to detect the multi-angle polarized hyperspectrum of the vegetation leaves. In this paper, we have designed an orthogonal, two level test having three factors on the basis of analyzing clove leaves spectrum. Analysis of variance shows that polarized angle, incidence viewing azimuth, and the chlorophyll and their interactions have impacts in our experiment, especially polarized angle, incidence viewing azimuth and the their interaction effect have Particularly significant for the clove leaves. Hence we should consider the interaction effects in the vegetation leaves polarized reflectance in the future studies.
Keywords:Multi-angle   Polarization   Hyperspectrum   Interaction Effects
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