| 高光谱成像分析植物叶片滞尘前后光谱特征变化 |
| |
| 引用本文： | 张爱武,张泰配,康孝岩,郭超凡.高光谱成像分析植物叶片滞尘前后光谱特征变化[J].农业工程学报,2018,34(19):170-176. |
| |
| 作者姓名： | 张爱武 张泰配 康孝岩 郭超凡 |
| |
| 作者单位： | 首都师范大学三维信息获取与应用教育部重点实验室;首都师范大学空间信息技术教育部工程研究中心 |
| |
| 基金项目： | 国家自然科学基金（41571369）；国家重点研发计划项目（2016YFB0502500）；北京市自然科学基金（4162034）；青海省科技计划项目（2016-NK-138） |
| |
| 摘 要： | 灰霾的监测与治理是迫切需要解决的问题,分析植被叶片滞尘前后的光谱变化特征是灰霾监测的一种有效方式。植物叶片具有吸附空气颗粒物的能力。该文通过获取10种常见树木叶片10月和11月连续26 d的高光谱图像,对比分析每种叶片滞尘前后的光谱特征变化情况,得出滞尘前后叶片光谱变化的基本趋势:1)10种叶片变化趋势基本一致,10种叶片滞尘前后光谱变化明显的区间均表现在500~550 nm、550~700 nm、730~760 nm波段内;2)滞尘前后的叶片红边位置并没有发生改变,滞尘没有对叶片内部生理结构构成影响;3)金露梅和二球悬铃木在765 nm波段处的光谱响应与其它树种存在很大差异;白杜、金银忍冬、紫薇和玉兰在550~570 nm波段区间对于滞尘的敏感度较弱。研究为大气降尘的监测以及灰霾的治理提供应用参考。为进一步通过高光谱探测灰霾典型成分提供理论支撑。
|
| 关 键 词： | 灰尘 光谱分析 植物 滞尘 高光谱图像 叶片光谱 |
| 收稿时间： | 2018/5/10 0:00:00 |
| 修稿时间： | 2018/9/3 0:00:00 |
Changes of spectral characteristics of plant leaves before and after dust-retention under hyperspectral imaging |
| |
| Zhang Aiwu,Zhang Taipei,Kang Xiaoyan and Guo Chaofan.Changes of spectral characteristics of plant leaves before and after dust-retention under hyperspectral imaging[J].Transactions of the Chinese Society of Agricultural Engineering,2018,34(19):170-176. |
| |
| Authors: | Zhang Aiwu Zhang Taipei Kang Xiaoyan and Guo Chaofan |
| |
| Institution: | 1. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China; 2. Engineering Research Center of Spatial Information Technology, Ministry of Education, Capital Normal University, Beijing 100048, China,1. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China; 2. Engineering Research Center of Spatial Information Technology, Ministry of Education, Capital Normal University, Beijing 100048, China,1. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China; 2. Engineering Research Center of Spatial Information Technology, Ministry of Education, Capital Normal University, Beijing 100048, China and 1. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China; 2. Engineering Research Center of Spatial Information Technology, Ministry of Education, Capital Normal University, Beijing 100048, China |
| |
| Abstract: | |
| |
| Keywords: | dust spectrum analysis plants dust retention hyperspectral imaging leaf spectrum |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《农业工程学报》浏览原始摘要信息 |
| 点击此处可从《农业工程学报》下载免费的PDF全文 |
|
