长江科学院院报 ›› 2018, Vol. 35 ›› Issue (4): 43-47.DOI: 10.11988/ckyyb.20170876

• 水土保持与生态建设 • 上一篇    下一篇

基于无人机遥感技术的崩岗快速调查方法

沈盛彧, 赵元凌, 程冬兵, 张平仓   

  1. 长江科学院 水土保持研究所,武汉 430010
  • 收稿日期:2017-08-02 出版日期:2018-04-01 发布日期:2018-04-16
  • 作者简介:沈盛彧(1984- ),男,湖北武汉人,高级工程师,博士,主要从事无人机遥感技术和地理信息技术在水土保持领域应用方面的研究。E-mail:shenshengyu@mail.crsri.cn
  • 基金资助:
    国家自然科学基金项目(41601298);水利部公益性行业科研专项经费项目(201501047);中央级公益性科研院所基本科研业务费项目(CKSF2016262/TB)

An Efficient Method of Investigating Slope Collapse by Unmanned Aerial Vehicle Remote Sensing

SHEN Sheng-yu, ZHAO Yuan-ling, CHENG Dong-bing, ZHANG Ping-cang   

  1. Department of Soil and Water Conservation, Yangtze River Scientific Research Institute,Wuhan 430010, China
  • Received:2017-08-02 Online:2018-04-01 Published:2018-04-16

摘要: 我国南方崩岗侵蚀严重,崩岗调查是崩岗预防治理工作的关键环节之一,需要长期周期性重复,传统调查方法所需人力、物力和时间成本都非常高,在一定程度上限制了调查工作的广泛开展。在全面分析总结传统崩岗调查方法的基础上,提出了一种基于无人机遥感技术的崩岗快速调查方法,利用崩岗调查区域的无人机航拍影像三维重建出崩岗地貌,并生成数字正射影像图(DOM)、数字表面模型(DSM)和三维模型,将繁重的野外调查工作转移到室内,借助虚拟三维模型量测和人机交互判读完成崩岗调查工作。通过三组崩岗调查实验验证了本方法的可行性和高效性,并从信息量、精度、效率和成本4个方面讨论本方法的优越性。

关键词: 崩岗, 无人机, 遥感, DOM, DSM

Abstract: Slope collapse and erosion is severe in South China.As a key part of prevention work,slope collapse investigation requires long-term periodical repetition; hence the manpower, material and time costs of traditional in-vestigation method are very high, which limits the extensive implementation of investigation. In this article, an
efficient method of investigating slope collapse based on unmanned aerial vehicle (UAV) remote sensing is proposed based on a summary of traditional investigation methods. Through reconstructing the geomorphology of the slope collapse areas with UAV aerial images, Digital Orthophoto Map (DOM), Digital Surface Model (DSM), and three-dimensional model can be generated, transferring the cumbersome field investigation work into indoor model measurement and manual interpretation. The feasibility and efficiency of the proposed method are demonstrated by three experiments. And the advantages of the present method are discussed in terms of information quantity, accuracy, efficiency, and cost.

Key words: slope collapse, UAV, remote sensing, DOM, DSM

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