JOPC ›› 2020, Vol. 22 ›› Issue (4): 799-806. doi: 10.7605/gdlxb.2020.10.115

• NEW TECHNIQUES AND NEW METHODS • Previous Articles    

High resolution UAV image acquisition method and modeling practice for geological outcrop with a large slope

Sheng Hui, Duan Zheng-Ming, Liu Shan-Wei, Zeng Zhe, Feng Jian-Wei   

  1. College of Oceanography and Space Informatics,China University of Petroleum(East China),Shangdong Qingdao 266580,China
  • Received:2019-10-22 Revised:2020-01-06 Online:2020-08-01 Published:2020-08-10
  • Contact: Liu Shan-Wei,born in 1982,is anassociate professor of the College of Oceanography and Space Informatics of China University of Petroleum(East China). He is currently engaged in remote sensing and GIS application. E-mail: shanweiliu@163.com.
  • About author:Sheng Hui,born in 1972,is an associate professor of the College of Oceanography and Space Informatics of China University of Petroleum(East China). He is currently engaged in photogrammetry and remote sensing. E-mail: sheng@upc.edu.cn.
  • Supported by:
    “Strategic Priority Research Program” of the Chinese Academy of Science(No.XDA14010205),the National Science and Technology Major Project (No.2016ZX05014-002-006), the National Natural Science Foundation of China (No.41976184) and 2017 Zhuhai Introduced Innovation and Entrepreneurship Team (No. ZH01110405170027PWC)

大坡度地质露头高分辨率无人机影像采集方法与建模实践*

盛辉, 段政明, 刘善伟, 曾喆, 冯建伟   

  1. 中国石油大学(华东)海洋与空间信息学院,山东青岛 266580
  • 通讯作者: 刘善伟,男,1982年生,毕业于中国科学院烟台海岸带研究所,现为中国石油大学(华东)海洋与空间信息学院副教授、硕士生导师,主要从事遥感与GIS应用研究。E-mail: shanweiliu@163.com。
  • 作者简介:盛辉,男,1972年生,毕业于武汉大学,现为中国石油大学(华东)海洋与空间信息学院副教授、硕士生导师,主要从事摄影测量与遥感在地学中的应用等方面研究。E-mail: sheng@upc.edu.cn。
  • 基金资助:
    *中国科学院先导科技专项(编号: XDA14010205)、国家科技重大专项(编号: 2016ZX05014-002-006)、国家自然科学基金项目(编号: 41976184)和2017珠海引进创新创业团队(编号:ZH01110405170027PWC)联合资助

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Abstract: The observation on the outcrop in the field is one of the most direct and efficient methods to obtain the underground formation information, which provides the most direct first-hand geological data for geological science research. However, the traditional outcrop investigation, especially for the outcrop with a large slope and unreachable area, mainly relies on the inspection, measurement of the slope bottom, and photos to record outcrop information, making it difficult to accurately characterize the whole geological body. Consumer unmanned aerial vehicle (UAVs) with the advantages of good mobility, strong adaptability and low cost, can obtain outcrop images from a short distance, multiple perspectives and varying heights. In this paper, the image acquisition method and model construction accuracy without control points available for the geological outcrop with a large slope are discussed. Consumer UAVs is used to capture images through vertical route and then the geological model is set up. The results show that oblique photogrammetry technology combined with consumer UAVs can effectively build a large slope geological outcrop model with millimeter resolution. The model has the characteristics of high resolution, uniform resolution and high measurement accuracy up to millimeter, which can effectively reduce the difficulty of field investigation and the personnel safety risk, thus it accurately reproduces the outcrop situation with large slope in the field, providing a real and reliable data basis for the section interpretation, analysis and measurement of large slope outcrop.

Key words: large slope outcrop, consumer UAVs, oblique photogrammetry, high resolution, millimeter accuracy

摘要： 野外地质露头的观察、研究能够最直接、最有效地获取地下地层信息,为地质科学研究提供最直观、最真实的一手地质资料。然而传统的露头研究,尤其针对大坡度、人员无法到达区域的露头研究,主要依赖坡底部考察、测量和拍照等方式记录露头信息,难以精细、准确地表征整个地质体。消费级无人机具有机动性好、适应性强和成本低等优势,且能够近距离、多视角、变高度地获取露头影像。本研究对无控制点情况下的大坡度地质露头影像采集方法与模型构建精度进行探讨,利用消费级无人机垂向航线采集影像,然后构建模型。结果证明倾斜摄影测量技术结合消费级无人机能够有效地构建具有毫米分辨率精度的大坡度地质露头模型。构建的模型具有分辨率高、分辨率均一、量测精度可达毫米等特点,可有效降低野外考察的工作难度,降低人员安全风险,真实准确地复现野外大坡度露头情况,为大坡度露头剖面解译、分析和量测提供真实可靠的数据基础。

关键词: 大坡度露头, 消费级无人机, 倾斜摄影测量, 高分辨率, 毫米精度

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