摘要
目前无人机目标识别技术在无人机军、民用领域都有着非常广泛的应用前景。对无人机目标图像分割、特征提取、目标识别等算法进行了系统地研究和对比分析,并对无人机目标图像识别算法进行了仿真实验,验证了该算法的可行性,为无人机自动避障技术提供了较好的技术基础。
At present, the UAV target identification technology has a very broad application prospect in the military and civil fields. The UAV target image segmentation algorithm, feature extraction algorithm, and target recognition algorithm are systematically studied and compared in this paper. The UAV target image recognition algorithm is simulated to verify the feasibility of the algorithm, which provides a good technical foundation for the UAV automatic obstacle avoidance technology.
作者
于坤林
YU Kun-lin(Changsha Aeronautical Vocational and Technical College, Changsha Hunan 410124)
出处
《长沙航空职业技术学院学报》
2018年第4期47-50,共4页
Journal of Changsha Aeronautical Vocational and Technical College
基金
2016年湖南省教育厅科学研究项目"基于计算机视觉的无人机自动避障技术研究"(编号:16C0011)阶段性研究成果
关键词
无人机
计算机视觉
目标识别
图像处理
unmanned aerial vehicle
computer vision
target recognition
image processing