| 利用偏最小二乘回归反演冬小麦条锈病严重度 |
| |
| 引用本文： | 王圆圆,陈云浩,李京,蒋金豹.利用偏最小二乘回归反演冬小麦条锈病严重度[J].国土资源遥感,2007,18(1):57-60. |
| |
| 作者姓名： | 王圆圆 陈云浩 李京 蒋金豹 |
| |
| 作者单位： | 北京师范大学资源学院,北京,100875 |
| |
| 基金项目： | 国防科技工业民用专项科研技术研究项目
,
北京市自然科学基金
,
地理空间信息工程国家测绘局重点实验室基础测绘经费联合资助项目 |
| |
| 摘 要： | 通过人工田间诱发不同等级条锈病，在不同生育期测定冬小麦感染条锈病严重度和冠层光谱，采用偏最小二乘（PLS）方法建立了冠层光谱和条锈病严重度的回归模型。结果显示： PLS反演冬小麦条锈病严重度的效果很好，与文献［4］中提出的利用高光谱指数进行反演的结果相比，精度更高； 通过对PLS回归系数的分析，发现叶绿素吸收谷两边（505~550 nm，640~670 nm，680~700 nm）的一阶微分光谱可用于诊断冬小麦条锈病病情，条锈病病害冬小麦在叶绿素吸收谷两边的一阶微分光谱的绝对值会比健康冬小麦的更大。
|
| 关 键 词： | ,数据挖掘,高光谱,偏最小二乘,病情指数 |
| 文章编号： | 1001-070X(2007)01-0057-04 |
| 收稿时间： | 2006-06-01 |
| 修稿时间： | 2006-06-01 |
THE APPLICATION OF PARTIAL LEAST SQUARE TO THE INVERSION OF SEVERITY OF WINTER WHEAT STRIPE RUST DISEASE |
| |
| WANG Yuan-yuan,CHEN Yun-hao,LI Jing,JIANG Jin-bao.THE APPLICATION OF PARTIAL LEAST SQUARE TO THE INVERSION OF SEVERITY OF WINTER WHEAT STRIPE RUST DISEASE[J].Remote Sensing for Land & Resources,2007,18(1):57-60. |
| |
| Authors: | WANG Yuan-yuan CHEN Yun-hao LI Jing JIANG Jin-bao |
| |
| Institution: | College of Resources Science, Beijing Normal University, Bering 100875, China |
| |
| Abstract: | Following the inoculation of stripe rust disease of different levels in the winter wheat field, the authors measured the stripe rust disease severity and winter wheat canopy reflectance at different growth stages. PLS (Partial Least Square) was adopted to build a regression model for disease severity inversion from canopy reflectance. The results indicate that the inversion accuracy of PLS is higher than that of the method proposed in reference［4］, which used PRI (Photochemical Reflectance Index) to predict disease severity. Regression coefficients of PLS were investigated to obtain useful knowledge. It has been found that the first derivatives on the two sides of the chlorophyll absorption valley (505~550 nm，640~670 nm，680~700 nm) are most important in determining disease severity. Diseased winter wheat has higher absolute values of first derivatives in the three spectral regions. |
| |
| Keywords: | Data mining Hyperspectral Partial least square Disease index |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《国土资源遥感》浏览原始摘要信息 |
| 点击此处可从《国土资源遥感》下载免费的PDF全文 |
|
