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| 多光谱视觉检测系统及其在稻飞虱发生早期检测中的应用 | |
| 引用本文： | 周志艳,臧英,沈斌斌. 多光谱视觉检测系统及其在稻飞虱发生早期检测中的应用[J]. 现代科学仪器, 2010, 0(2): 10-14 |
| 作者姓名： | 周志艳 臧英 沈斌斌 |
| 作者单位： | 1. 华南农业大学工程学院/农业机械与装备关键技术省部共建教育部重点实验室,510642,广州 2. 华南农业大学资源环境学院,510642,广州 |
| 基金项目： | 国家863计划(No.2006AA10A307); 国家自然科学基金(Nos.60878026,U0931001); 高等学校博士点基金(No.20094404120001); 广东省科技计划(No.2009B020314003)资助项目 |
| 摘 要： | 为了研究作物病虫害发生后植株冠层多光谱图像特征值的变化规律,设计了一套室内多光谱视觉检测系统试验平台。文章介绍了该试验平台在稻飞虱发生早期水稻冠层多光谱图像特性研究中的应用。在实验室条件下对盆栽稻株进行接虫,然后分12个时段(接虫后14h、16h、20h、22h、24h、38h、44h、48h、62h、69h、73h)对受稻飞虱侵害后的稻株冠层进行多光谱图像采集,共采集到NIR、R、G、B四个通道及其组合通道(CIR、RGB)的稻株冠层图像561张,然后在Matlab中进行图像处理和数据分析,结果表明:稻飞虱迁入后,NIR通道的冠层叶片灰度值算术平均值在时间维度上光谱图像特征值变化非常显著,其次是G、R通道。因此,在稻飞虱迁入后,应着重观察NIR、G、R通道冠层叶片灰度值算术平均值在时间维度上的变化规律,从中挖掘用于稻飞虱入侵检测和危害程度分级的相关模型。 |
| 关 键 词： | 稻飞虱 多光谱图像 时间维度 胁迫检测 遥感 |
The Multi-spectral Vision Detection System and Its Application in the Early Detection of Rice Plant-Hopper |
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| Zhou Zhiyan,Zang Ying,Shen Binbin. The Multi-spectral Vision Detection System and Its Application in the Early Detection of Rice Plant-Hopper[J]. Modern Scientific Instruments, 2010, 0(2): 10-14 | |
| Authors: | Zhou Zhiyan Zang Ying Shen Binbin |
| Affiliation: | Zhou Zhiyan1,Zang Ying1,Shen Binbin2 (1Key Laboratory of Key Technology on Agricultural Machine , Equipment,Ministry of Education,College of Engineering,South China Agricultural University,Guangzhou 510642,China,2 College of Natural Resources , Environment,Guanzhou 510642,China) |
| Abstract: | In order to study the crop stress induced by diseases or insect pests,a Multi-Spectral Vision Detection System(MSVDS)was developed.Used the MSVDS,a pilot study was conducted to determine the feasibility using multispectral image processing techniques to detect stress in rice cased by Rice Plant-Hopper(RPH).Rice seeds were planted in plastic flats.After insect pests were infested with RPHs(mixed with Nilaparvata Lugens and Sogatella Furcifera)at a density of 13 per plant,canopy multi-spectral images,includin... |
| Keywords: | Rice Plant-Hopper Multi-spectral image Time dimension Rice stress detection Remote sensing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |