Abstract:

Based on reviewing the methods for UAV image-sequence reconstruction, the classification on the principle and applicability of the methods is proposed. Generally, the methods involved can be divided into two groups. One is based on traditional photogrammetry, which needs more intermediate quality-control checks and more human-computer interactions. This method can be used to reconstruct large and regular image blocks. The other called the multi-view geometry method, is more like close range photogrammetry. It is more suitable for automatic reconstruction of irregular image blocks, such as specific objects and complex terrains. After comparing applicability of different methods, the related technology is expatiated, and the advantages, limitations and enhancement methods are discussed. Finally, it is pointed out that the combination of photogrammetry and computer vision is the future research direction, and the key problems to be solved are discussed.

Key words: UAV, image sequences, multiple view geometry, photogrammetry, 3D reconstruction

摘要：

在总结无人机序列影像重建方法的基础上, 基于原理和适用性, 将目前的主要处理方法分为两类: 1) 基于传统航测理论的改进方法, 该类方法需要较多的人机交互与质量控制, 适用于大范围航迹规则的影像处理; 2) 基于多视几何理论的方法, 该类方法使用类似近景摄影测量的方式处理无人机影像, 适用于特定地物或复杂地形区域下不规则航迹采集的影像处理。通过比较不同方法的适用性, 详细探讨所涉及关键技术的优势、局限性与改进方法。最后指出, 将传统摄影测量技术与计算机视觉技术相结合是今后的研究方向, 并探讨了有待解决的关键问题。

关键词: 无人机, 序列影像, 多视几何, 摄影测量, 三维重建