测绘通报 ›› 2020, Vol. 0 ›› Issue (1): 102-106.doi: 10.13474/j.cnki.11-2246.2020.0021

• 技术研究 • 上一篇    下一篇

顾及地形起伏的无人机影像覆盖分析方法

张衡1, 李骁2, 叶朋飞1   

  1. 1. 四川省公路规划勘察设计研究院有限公司, 四川 成都 610041;
    2. 成都市勘察测绘研究院, 四川 成都 610081
  • 收稿日期:2019-09-17 发布日期:2020-02-10
  • 作者简介:张衡(1987-),男,工程师,研究方向为摄影测量与遥感。E-mail:289920545@qq.com

UAV image coverage analysis method considering terrain fluctuation

ZHANG Heng1, LI Xiao2, YE Pengfei1   

  1. 1. Sichuan Highway Planning, Survey, Design and Research Institute Co., Ltd., Chengdu 610041, China;
    2. Chengdu Institute of Survey&Investigation, Chengdu 610081, China
  • Received:2019-09-17 Published:2020-02-10

摘要: 使用无人机实施测绘航空摄影时,由于无人机相对航高较低,地面起伏会对无人机影像的分辨率、覆盖范围、重叠度造成较大的影响,影像成果会出现分辨率不足、重叠度不够、覆盖漏洞等缺陷。针对这一情况,本文提出了一种利用数字微分正解法的计算方法,借助DEM准确计算每张影像的覆盖范围,并使用FME软件高效生成全部影像的覆盖范围。经过实际使用,验证了该方法可以在航线设计阶段准确预测并分析全部影像的覆盖范围、重叠度,因此可及时发现设计问题并调整航线。该方法可以有效减少因地形起伏造成的影像覆盖缺陷,减少返工现象,从整体上提高了作业效率。

关键词: 地形起伏, 无人机, 测绘航空摄影, 影像覆盖分析, FME

Abstract: Because of the low relative altitude of UAV, ground fluctuation will have an adverse effect on the resolution, coverage and overlaps of UAV images when using UAV for aerial photography of surveying and mapping. There will be some defects in the aerial images, such as insufficient resolution, insufficient overlap, coverage loopholes and so on. In order to solve this problem, this paper proposes a method to calculate the coverage of each image accurately with the help of DEM by using digital differential correction, and uses FME to efficiently generate the coverage of all images. It is verified by some pracise project that the method can accurately predict the coverage and overlap of all images in the the designed air routes. So the design defects can be found and corrected in time. This method can effectively reduce the image coverage defects caused by terrain undulation, so as to avoid rework and improve the efficiency of aerial photography.

Key words: terrain fluctuation, UAV, aerial photography, image coverage analysis, FME

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