| 利用高光谱数据进行植被生化成分反演方法研究 |
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| 引用本文： | 张凤丽 万余庆. 利用高光谱数据进行植被生化成分反演方法研究[J]. 地球信息科学学报, 2001, 3(4): 71-75 |
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| 作者姓名： | 张凤丽 万余庆 |
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| 作者单位： | 1. 山东科技大学地球科学系, 泰安 271019;2. 中煤航测遥感局遥感应用研究院, 西安 710054 |
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| 基金项目： | 86 3-30 8主题“西部金睛行动”的部分研究成果 |
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| 摘 要： | 高光谱数据包含着丰富光谱信息,能够定量地分析物质成分[1]。由高光谱数据,可以运用多元逐步线性回归方法反演植被生化组分含量,从而达到监测植被生长状况的目的[2]。本文具体介绍了多元逐步线性回归方法,及其在氮、木质素和纤维素含量估算中的应用。
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| 关 键 词： | 高光谱数据 光谱信息 多元逐步线性回归 波深均一化 |
The Research of Method about Plant Biochemical Concentration Determination with Hyperspectral Data |
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| Zhang Fengli. The Research of Method about Plant Biochemical Concentration Determination with Hyperspectral Data[J]. Geo-information Science, 2001, 3(4): 71-75 |
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| Authors: | Zhang Fengli |
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| Affiliation: | 1. ShanDong University of Science and Technology Tai'an 271019;2. Aerophotogrammetry & Remote Sensing Center of Chnia Coal Xi'an 710054 |
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| Abstract: | Hyperspectral data contain plenty of information about space, radiation and spectrum, which makes it feasible to quantificationally analyze the chemical concentration of earth surface. Studying the spectral characteristics of main biochemical components of plants with hyperspectral data, we can determine the concentration of various componets by use of certain algorithm. In this way we can at last supervise the growing status of plants. In this paper, stepwise multiple linear regression and spectrum derivative techniques are introduced to calculate the concentration of nitrogen, lignin and cellulose in plant. |
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| Keywords: | Hyperspectral remote sensing Spectral information Stepwise multiple linear regression Band depth normalization Band area normalization Derivative spectrum technique |
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