无人机多传感器数据几何后处理框架设计与质量控制

Architecture Design and Quality Control of Post-processing for Multi-sensor Data of Unmanned Aerial Vehicle Platform

本文设计了无人机多传感器几何后处理框架,并对影响后处理质量所涉及的关键步骤进行讨论。以可见光数码相机、激光扫描仪、热红外/紫外视频摄像仪等4类传感器集成处理为实例,介绍了其几何后处理成果类型及评价机制,为无人机多传感器集成系统在相关行业与工程应用中进一步推广给出几点建议。

We propose the architecture of data post-processing for multi-sensors of unmanned aerial vehicle platform.And some key steps for post-processing are discussed in detail.In this approach,a few products derived from multi-sensor data and evaluation methods are also introduced via setting an example of integration of spectra camera,laser scanner,thermal infrared camera and ultraviolet camera.The main purpose of this article is that the architecture design and quality control steps can play an important role on the further promotion of UAV.