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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 increasing demand of remote sensing mapping, the use of surveying-type rotor UAVs has become more frequent. Surveying and mapping rotor UAV with its unique aerodynamic performance and application characteristics, making it with the fixed-wing UAV can be jointly applied to aerial photography. At present, due to the influence of multiple factors such as topography and geography, surveying-driven rotary UAVs frequently encounter air traffic disturbance, remote control signal interference and GPS aided signal interruption during their missions, and need to apply their autonomous modes for assisted landing. To achieve autonomous land landing first need to be resolved is the UAV landing landmarks recognition and processing a series of issues, this article related to the image recognition and compression technology design and research.