无人机自主着陆图像识别压缩技术研究

UAV Autonomous Landing Compressed Image Recognition Technology Research

近些年来,随着遥感测绘需求日益增加,测绘型旋翼无人机的使用变得愈加频繁。测绘型旋翼无人机以其独特的气动性能及应用特点,使得其与固定翼无人机可以共同应用于航片拍摄。目前,由于地形及地域等多重因素的影响,测绘型旋翼无人机在执行任务期间经常遇到气流扰动、遥控信号干扰、GPS辅助信号中断等意外情况,需要应用其自主模式进行辅助着陆。而要实现自主着陆首先需要解决的是无人机对地面着陆地标的识别处理等一系列问题,本文就相关的图像识别压缩技术进行设计研究。

In recent years, with the of remote sensing survey increases day by day, the employment of Mapping - type Rotor UAV （MRUAV） becomes increasingly frequent. MRUAV owns special aerodynamic performance and application characteristics, which makes it is able to take aerial photographs together with the Fixed Wing UAV. At present, due to the effect of terrain and other factors, MRUAV often encounters a series of unforeseen circumstances, like turbulence, remote signal interference, GPS auxiliary signal interruption etc. For the sake of alleviating the above adverse impacts, it is of feasibility to employ the independent mode of MRUAV to perform auxiliary landing. However, in order to achieve autonomous landing, a series of problems, like landing landmark recognition, need to be solved firstly. In this paper, the relevant image recognition compression technology was designed and researched.