基于旋翼无人机的农业低空高光谱遥感技术
文献类型：期刊论文
| 作者 | 高辉; 王秋平; 赵新刚 ; 潘从元
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| 刊名 | 科技创新导报
 |
| 出版日期 | 2016 |
| 期号 | 2页码:170-171 |
| ISSN号 | 1674-098X |
| 关键词 | 旋翼无人机 成像光谱仪 遥感 农业 光谱分析 |
| 其他题名 | Unmanned Aerial Vehicles Based Hyperspectral Remote Sensing Techniques For Agricultural Applications |
| 通讯作者 | 高辉 |
| 产权排序 | 1 |
| 中文摘要 | 现代农业的发展要求对农作物进行精准管理,需要对大面积农作物光谱信息进行精确和实时快速的监测,以便大面积、快速、无损的获取作物的生长、发育、养分和水分等的空间分布信息,为变量施肥、浇灌、施药等田间管理提供基本信息,是实现数字化农业的基础。利用反射光谱探测作物信息,建立基于特定目标测试数据的统计模型来实现作物叶面积指数、氮素、水分含量和灾害的光谱反演,已经取得了一定的研究成果。但由于建立的统计模型主要是通过地物光谱信息和卫星遥感影像数据之间的结合,模型精度受到特定的试验条件(时间、地点、对象)、空间分辨率、图谱的特异性等限制,很难进一步提高。该报告提出利用无人机和成像光谱仪结合,研制出基于无人机的... |
| 英文摘要 | Modern agriculture needs the crop spectral information in a large area in time. The spatial resolved spectral information will give the status of crop growth, nutrient and water, which is the basic information for field management as fertilization, irrigation and spraying.So imaging spectral information is the base of digital agriculture. To exploit the spectral information, a spectral information processing model is established that is based on corps’ reflect spectrum, to find out the leaf area index, nitrogen, moisture and disease Several research results are obtained based on the model. At present, above data processing model is based on the ground spectral information and satellite remote-sensing spectral information, the accuracy of the model is limited by the specific experiment conditions (different time, different height and different spatial resolution). To improve the accuracy of the data model. The low attitude hyperspectal remote sensing platform based on unmanned aerial vehicle (UAV) is proposed. The platform employs the unmanned aerial vehicle and the image spectrometer, which can be used to get high spatial resolution image and high spectral resolution information for a large area.Combined the UAV based hyperspectral information and the satellite based hyperspectral information, we can monitor crops information in different spatial resolution and flexible way. This platform may be practical used as the high spatial resolution, high spectral resolution spectral information tools for modern agriculture. This is one of the solutions for the bottleneck of the accurate agricultural information collection. In this project, an UAV based hyperspectral information collection platform is developed and evaluated. The platform may provide a low-cost, efficient, flexible and real-time hyperspectral information tool with high spatial resolution of crops spectral information. Several key techniques related to the UAV based hyperspectral sensing for field crops are presented.(1) the UAV control technologies(including UAV take-off and landing, flight track plan, independent fault-tolerant, self-positioning and optimized navigation functions).(2)the high precision supporting platform for spectrometer.(3)the micro hyperspectrometer development. (4)keeping the hyperspectrometer in a fixed position in the sky, to get hypespectral information by scanning a mirror.(5)developed an application model which may be used on UAV based hyperspectral information. Above research may provide the basis for the practical application of precision agriculture. Sixth, fast hyperspectral data acquisition and storage. The results of this project can also be applied in other research fields as environmental monitoring and food industry. |
| 语种 | 中文 |
| 源URL | [http://ir.sia.cn/handle/173321/18812]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | 高辉,王秋平,赵新刚,等. 基于旋翼无人机的农业低空高光谱遥感技术[J]. 科技创新导报,2016(2):170-171. |
| APA | 高辉,王秋平,赵新刚,&潘从元.(2016).基于旋翼无人机的农业低空高光谱遥感技术.科技创新导报(2),170-171. |
| MLA | 高辉,et al."基于旋翼无人机的农业低空高光谱遥感技术".科技创新导报 .2(2016):170-171. |
入库方式： OAI收割
来源：沈阳自动化研究所
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