Three-Dimensional UAV-Based Photogrammetric Structural Models for Rock Slope Engineering

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Abstract

This research describes a methodology for acquiring, visualizing, and reconstructing three-dimensional representations of blocky rock masses based on the coordinates of dense surface points. In general, the surface points can be obtained with a variety of sensors and sensor platforms. The workflow described herein considers photogrammetric data sets acquired with Unmanned Aerial Vehicles (UAVs). In the overall, the steps for constructing high resolution 3D geological structural models are: (1) a photogrammetric survey of the investigation area is performed to obtain a true-color georeferenced 3D point cloud; (2) structural geologic measurements are extracted directly from the point cloud or associated digital terrain model (DTM); (3) the 3D rock structure is represented as a discrete fracture network (DFN); (4) identification, computing and visualization of blocks; and (5) on the basis of Block Theory, kinematically removable blocks are identified directly on the point cloud/DTM with embedded DFN and classified according to their criticality.
Originalspracheenglisch
TitelIAEG/AEG Annual Meeting Proceedings
Redakteure/-innenA. Shakoor, K. Cato
ErscheinungsortCham
Herausgeber (Verlag)Springer International Publishing AG
Seiten293-287
Seitenumfang5
Band1
ISBN (Print)978-3-319-93124-1
DOIs
PublikationsstatusVeröffentlicht - 2019
Veranstaltung2018 IAEG/AEG Annual Meeting - San Francisco, USA / Vereinigte Staaten
Dauer: 17 Sep 201821 Sep 2018

Konferenz

Konferenz2018 IAEG/AEG Annual Meeting
LandUSA / Vereinigte Staaten
OrtSan Francisco
Zeitraum17/09/1821/09/18

Fingerprint

fracture network
digital terrain model
sensor
engineering
rock
visualization
methodology
vehicle

Dies zitieren

Liu, Q., Kieffer, D. S., & Bitenc, M. (2019). Three-Dimensional UAV-Based Photogrammetric Structural Models for Rock Slope Engineering. in A. Shakoor, & K. Cato (Hrsg.), IAEG/AEG Annual Meeting Proceedings (Band 1, S. 293-287). Cham: Springer International Publishing AG . https://doi.org/10.1007/978-3-319-93124-1_34

Three-Dimensional UAV-Based Photogrammetric Structural Models for Rock Slope Engineering. / Liu, Qian; Kieffer, Daniel Scott; Bitenc, Maja.

IAEG/AEG Annual Meeting Proceedings. Hrsg. / A. Shakoor; K. Cato. Band 1 Cham : Springer International Publishing AG , 2019. S. 293-287.

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Liu, Q, Kieffer, DS & Bitenc, M 2019, Three-Dimensional UAV-Based Photogrammetric Structural Models for Rock Slope Engineering. in A Shakoor & K Cato (Hrsg.), IAEG/AEG Annual Meeting Proceedings. Bd. 1, Springer International Publishing AG , Cham, S. 293-287, San Francisco, USA / Vereinigte Staaten, 17/09/18. https://doi.org/10.1007/978-3-319-93124-1_34
Liu Q, Kieffer DS, Bitenc M. Three-Dimensional UAV-Based Photogrammetric Structural Models for Rock Slope Engineering. in Shakoor A, Cato K, Hrsg., IAEG/AEG Annual Meeting Proceedings. Band 1. Cham: Springer International Publishing AG . 2019. S. 293-287 https://doi.org/10.1007/978-3-319-93124-1_34
Liu, Qian ; Kieffer, Daniel Scott ; Bitenc, Maja. / Three-Dimensional UAV-Based Photogrammetric Structural Models for Rock Slope Engineering. IAEG/AEG Annual Meeting Proceedings. Hrsg. / A. Shakoor ; K. Cato. Band 1 Cham : Springer International Publishing AG , 2019. S. 293-287
@inproceedings{c05514d5b87146719855136ae0261c08,
title = "Three-Dimensional UAV-Based Photogrammetric Structural Models for Rock Slope Engineering",
abstract = "This research describes a methodology for acquiring, visualizing, and reconstructing three-dimensional representations of blocky rock masses based on the coordinates of dense surface points. In general, the surface points can be obtained with a variety of sensors and sensor platforms. The workflow described herein considers photogrammetric data sets acquired with Unmanned Aerial Vehicles (UAVs). In the overall, the steps for constructing high resolution 3D geological structural models are: (1) a photogrammetric survey of the investigation area is performed to obtain a true-color georeferenced 3D point cloud; (2) structural geologic measurements are extracted directly from the point cloud or associated digital terrain model (DTM); (3) the 3D rock structure is represented as a discrete fracture network (DFN); (4) identification, computing and visualization of blocks; and (5) on the basis of Block Theory, kinematically removable blocks are identified directly on the point cloud/DTM with embedded DFN and classified according to their criticality.",
author = "Qian Liu and Kieffer, {Daniel Scott} and Maja Bitenc",
year = "2019",
doi = "10.1007/978-3-319-93124-1_34",
language = "English",
isbn = "978-3-319-93124-1",
volume = "1",
pages = "293--287",
editor = "A. Shakoor and K. Cato",
booktitle = "IAEG/AEG Annual Meeting Proceedings",
publisher = "Springer International Publishing AG",
address = "Switzerland",

}

TY - GEN

T1 - Three-Dimensional UAV-Based Photogrammetric Structural Models for Rock Slope Engineering

AU - Liu, Qian

AU - Kieffer, Daniel Scott

AU - Bitenc, Maja

PY - 2019

Y1 - 2019

N2 - This research describes a methodology for acquiring, visualizing, and reconstructing three-dimensional representations of blocky rock masses based on the coordinates of dense surface points. In general, the surface points can be obtained with a variety of sensors and sensor platforms. The workflow described herein considers photogrammetric data sets acquired with Unmanned Aerial Vehicles (UAVs). In the overall, the steps for constructing high resolution 3D geological structural models are: (1) a photogrammetric survey of the investigation area is performed to obtain a true-color georeferenced 3D point cloud; (2) structural geologic measurements are extracted directly from the point cloud or associated digital terrain model (DTM); (3) the 3D rock structure is represented as a discrete fracture network (DFN); (4) identification, computing and visualization of blocks; and (5) on the basis of Block Theory, kinematically removable blocks are identified directly on the point cloud/DTM with embedded DFN and classified according to their criticality.

AB - This research describes a methodology for acquiring, visualizing, and reconstructing three-dimensional representations of blocky rock masses based on the coordinates of dense surface points. In general, the surface points can be obtained with a variety of sensors and sensor platforms. The workflow described herein considers photogrammetric data sets acquired with Unmanned Aerial Vehicles (UAVs). In the overall, the steps for constructing high resolution 3D geological structural models are: (1) a photogrammetric survey of the investigation area is performed to obtain a true-color georeferenced 3D point cloud; (2) structural geologic measurements are extracted directly from the point cloud or associated digital terrain model (DTM); (3) the 3D rock structure is represented as a discrete fracture network (DFN); (4) identification, computing and visualization of blocks; and (5) on the basis of Block Theory, kinematically removable blocks are identified directly on the point cloud/DTM with embedded DFN and classified according to their criticality.

U2 - 10.1007/978-3-319-93124-1_34

DO - 10.1007/978-3-319-93124-1_34

M3 - Conference contribution

SN - 978-3-319-93124-1

VL - 1

SP - 293

EP - 287

BT - IAEG/AEG Annual Meeting Proceedings

A2 - Shakoor, A.

A2 - Cato, K.

PB - Springer International Publishing AG

CY - Cham

ER -