王冬梅, 陈普智. 一种改进的无人机序列影像快速拼接方法研究[J]. 黄河水利职业技术学院学报, 2020, 32(1): 45-49. DOI: 10.13681/j.cnki.cn41-1282/tv.2020.01.010
    引用本文: 王冬梅, 陈普智. 一种改进的无人机序列影像快速拼接方法研究[J]. 黄河水利职业技术学院学报, 2020, 32(1): 45-49. DOI: 10.13681/j.cnki.cn41-1282/tv.2020.01.010
    shu
    Wang Dongmei, Chen Puzhi. Research on An Improved Method for Sequence Images Quick Mosaicking of Unmanned Aerial Vehicle (UAV)[J]. Journal of Yellow River Conservancy Technical Institute, 2020, 32(1): 45-49. DOI: 10.13681/j.cnki.cn41-1282/tv.2020.01.010
    Citation: Wang Dongmei, Chen Puzhi. Research on An Improved Method for Sequence Images Quick Mosaicking of Unmanned Aerial Vehicle (UAV)[J]. Journal of Yellow River Conservancy Technical Institute, 2020, 32(1): 45-49. DOI: 10.13681/j.cnki.cn41-1282/tv.2020.01.010
    shu

    一种改进的无人机序列影像快速拼接方法研究

    Research on An Improved Method for Sequence Images Quick Mosaicking of Unmanned Aerial Vehicle (UAV)

      摘要
    • 摘要: 为了实现无人机序列影像无缝拼接，根据无人机序列影像的航带排布特性，提出用分块阈值自适应调节法改进了SURF 算法。 探讨了应用改进SURF 算法对无人机序列影像进行快速拼接的步骤，并通过实验对该拼接方法进行验证。

       

      Abstract: In order to realize UAV sequence images seamless splicing, according to the UAV sequence image aerial belt configuration, segment threshold value self-adjustment method is put forward to improve SURF algoriithm. The procedure of using improved SURF algorithm to UAV sequence image quick mosaicking is discussed and verified by experiment.

       

      • HTML全文
      • 参考文献(10)
      • 相关文章
      • 施引文献
    • 资源附件(0)

    /

    返回文章
    返回