摘要
针对大范围水稻区域难以识别的问题,基于无人机遥感技术建立了水稻倒伏区域识别系统,主要由硬件系统和软件系统组成。对硬件系统和软件系统进行设计,包括采用补偿的方式降低飞控系统误差,采用改进的加权支持向量数据描述分类方法进行水稻倒伏区域的识别,使系统能够识别水稻倒伏区域。为验证该系统性能,进行了无人机飞行试验和水稻倒伏区域识别试验。结果表明:系统可以使无人机按照预设路径飞行,能够准确地识别水稻倒伏区域。
Aiming at the problem of indiscernibly to the large rice lodging area, the rice lodging area identification system was established based on UAV remote sensing technology. The system was constituted of hardware system and software system. To identify the lodging area accurately, the hardware system and software system were designed. It concluded that reduce the error flight control system in the method of compensation, identify the rice lodging area in the method of weighted support vector data description. To verify the performance of the system, the UAV flight test and rice lodging area identification test were done. The test results show that the UAV could fly as the presuppose path, and the system could identify the rice lodging area.
作者
段小斌
Duan Xiaobin(Ministry of Continuing education,Guangxi Vocational College of Industry and Commerce,Nanning 530007,China)
出处
《农机化研究》
北大核心
2021年第12期225-228,共4页
Journal of Agricultural Mechanization Research
基金
广西高校科研项目(2013YB338)。
关键词
水稻倒伏区域识别
无人机遥感技术
飞控系统
遥感影像处理系统
UAV remote sensing technology
rice lodging area identification
flight control system
remote sensing image processing system