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Close-Range Photogrammetric Techniques for Deformation Measurement: Applications to Landslides

  • Marco Scaioni
  • Tiantian Feng
  • Ping Lu
  • Gang Qiao
  • Xiaohua Tong
  • Ron Li
  • Luigi Barazzetti
  • Mattia Previtali
  • Riccardo Roncella
Chapter
Part of the Springer Natural Hazards book series (SPRINGERNAT)

Abstract

In this chapter, the application of close-range photogrammetry for deformation measurements in the field of landslide investigation and monitoring is discussed. Main advantages of this approach are the non-contact operational capability, the large covered area on the slope to analyze, the high degree of automation, the high acquisition rate, the chance to derive information on the whole surface, not limited to a few control points (area-based deformation measurement), and, generally, a lower cost with respect to 3D scanning technology. Applications are organized into two categories: (1) surface-point tracking (SPT) and (2) comparison of surfaces obtained from dense image matching. Different camera configurations and geometric models to transform points from the image space to the object space are also discussed. In the last part of the chapter, a review of the applications reported in the literature and two case studies from the experience of the authors are reported.

Keywords

Terrestrial photogrammetry Computer vision Deformation measurement Image metrology Landslides 

Notes

Acknowledgments

This research was partially funded by the 863 National High-tech R&D Program of China (No. 2012AA121302) and by the 973 National Basic Research Program of China (No. 2013CB733204). Also, this research was supported by the Italian Ministry of University and Research within the project FIRB—Futuro in Ricerca 2010 (No. RBFR10NM3Z).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Marco Scaioni
    • 1
    • 2
  • Tiantian Feng
    • 1
  • Ping Lu
    • 1
  • Gang Qiao
    • 1
  • Xiaohua Tong
    • 1
  • Ron Li
    • 1
  • Luigi Barazzetti
    • 2
  • Mattia Previtali
    • 2
  • Riccardo Roncella
    • 3
  1. 1.College of Surveying and Geo-informaticsTongji UniversityShanghaiPeople’s Republic of China
  2. 2.Department of Architecture, Built Environment and Construction EngineeringPolitecnico di MilanoMilanItaly
  3. 3.Department of Civil, Environmental, Land Management Engineering and ArchitectureUniversity of ParmaParmaItaly

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