无人机视频观测辅助地物分类系统

2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD) Pub Date : 2017-10-01 DOI:10.1109/APUAVD.2017.8308826

M. Mukhina, I. Barkulova

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引用次数: 0

摘要

通过视频观测对分类系统进行了分析。提出了基于概率模型的辅助分类系统。特征向量包含信息量最大的组件，并允许决策风险最小化。结果证明了在非完整数据描述空间条件下，对大量视频帧进行分类的可靠性。

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System of aided classification of ground objects by video observation from unmanned aerial vehicle

Analysis of classification system by video observation has been done. The system with aided classification based on probabilistic models is proposed. Feature vector contains the most informative components and allows the minimization of decision risks. Results have proven the reliability of classification during a number of video frames in the condition of non-full data descriptive space.

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2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)

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