Crustal deformation detection using close-range photogrammetry

Jyun Ping Jhan, Jiann-Yeou Rau, Kuo-En Ching, Shu Chin Hsu, Ruey-Juin Rau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The objective of this study is to perform high temporal frequency crustal deformation monitoring using close-range photogrammetric technique, which has high accuracy and spatial resolution, to distinguish small relative displacement caused by the movement of fault. For this purpose, we propose the use of coded targets and man-made permanent white round targets through close-range photo triangulation software that is capable of automatic recognition and referencing. The test site is located near Guanshan Township in eastern Taiwan where a significant rupture on the concrete wall of a drainage channel is caused by the movement of Chihshang creeping fault. We equally spread and fixed 786 round white targets on the wall using stainless nails and measure their coordinates every month. A DSLR camera with fixed focal length lens (20mm) is adopted in order to maintain the stability of its internal geometry. During image acquisition, a convergent imaging scheme is essential in order to obtain strong imaging geometry with best positional accuracy. For each data acquisition period, a set of three-dimensional coordinates for all round white targets were obtained. Comparing with two different periods, we may evaluate the relative displacement of all targets by selecting several targets located on one side of the crack as control points through conformal transformation. Experimental results show that the proposed scheme can obtain reliable results and recognize the relative displacement caused by the movement of fault.

Original languageEnglish
Title of host publication33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Pages1691-1697
Number of pages7
Volume2
Publication statusPublished - 2012
Event33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand
Duration: 2012 Nov 262012 Nov 30

Other

Other33rd Asian Conference on Remote Sensing 2012, ACRS 2012
CountryThailand
CityPattaya
Period12-11-2612-11-30

Fingerprint

Photogrammetry
Imaging techniques
Nails
Geometry
Image acquisition
Triangulation
Drainage
Lenses
Data acquisition
Cameras
Concretes
Cracks
Monitoring

All Science Journal Classification (ASJC) codes

  • Information Systems

Cite this

Jhan, J. P., Rau, J-Y., Ching, K-E., Hsu, S. C., & Rau, R-J. (2012). Crustal deformation detection using close-range photogrammetry. In 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 (Vol. 2, pp. 1691-1697)
Jhan, Jyun Ping ; Rau, Jiann-Yeou ; Ching, Kuo-En ; Hsu, Shu Chin ; Rau, Ruey-Juin. / Crustal deformation detection using close-range photogrammetry. 33rd Asian Conference on Remote Sensing 2012, ACRS 2012. Vol. 2 2012. pp. 1691-1697
@inproceedings{48746d3007984f04940708391d5425b4,
title = "Crustal deformation detection using close-range photogrammetry",
abstract = "The objective of this study is to perform high temporal frequency crustal deformation monitoring using close-range photogrammetric technique, which has high accuracy and spatial resolution, to distinguish small relative displacement caused by the movement of fault. For this purpose, we propose the use of coded targets and man-made permanent white round targets through close-range photo triangulation software that is capable of automatic recognition and referencing. The test site is located near Guanshan Township in eastern Taiwan where a significant rupture on the concrete wall of a drainage channel is caused by the movement of Chihshang creeping fault. We equally spread and fixed 786 round white targets on the wall using stainless nails and measure their coordinates every month. A DSLR camera with fixed focal length lens (20mm) is adopted in order to maintain the stability of its internal geometry. During image acquisition, a convergent imaging scheme is essential in order to obtain strong imaging geometry with best positional accuracy. For each data acquisition period, a set of three-dimensional coordinates for all round white targets were obtained. Comparing with two different periods, we may evaluate the relative displacement of all targets by selecting several targets located on one side of the crack as control points through conformal transformation. Experimental results show that the proposed scheme can obtain reliable results and recognize the relative displacement caused by the movement of fault.",
author = "Jhan, {Jyun Ping} and Jiann-Yeou Rau and Kuo-En Ching and Hsu, {Shu Chin} and Ruey-Juin Rau",
year = "2012",
language = "English",
isbn = "9781622769742",
volume = "2",
pages = "1691--1697",
booktitle = "33rd Asian Conference on Remote Sensing 2012, ACRS 2012",

}

Jhan, JP, Rau, J-Y, Ching, K-E, Hsu, SC & Rau, R-J 2012, Crustal deformation detection using close-range photogrammetry. in 33rd Asian Conference on Remote Sensing 2012, ACRS 2012. vol. 2, pp. 1691-1697, 33rd Asian Conference on Remote Sensing 2012, ACRS 2012, Pattaya, Thailand, 12-11-26.

Crustal deformation detection using close-range photogrammetry. / Jhan, Jyun Ping; Rau, Jiann-Yeou; Ching, Kuo-En; Hsu, Shu Chin; Rau, Ruey-Juin.

33rd Asian Conference on Remote Sensing 2012, ACRS 2012. Vol. 2 2012. p. 1691-1697.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Crustal deformation detection using close-range photogrammetry

AU - Jhan, Jyun Ping

AU - Rau, Jiann-Yeou

AU - Ching, Kuo-En

AU - Hsu, Shu Chin

AU - Rau, Ruey-Juin

PY - 2012

Y1 - 2012

N2 - The objective of this study is to perform high temporal frequency crustal deformation monitoring using close-range photogrammetric technique, which has high accuracy and spatial resolution, to distinguish small relative displacement caused by the movement of fault. For this purpose, we propose the use of coded targets and man-made permanent white round targets through close-range photo triangulation software that is capable of automatic recognition and referencing. The test site is located near Guanshan Township in eastern Taiwan where a significant rupture on the concrete wall of a drainage channel is caused by the movement of Chihshang creeping fault. We equally spread and fixed 786 round white targets on the wall using stainless nails and measure their coordinates every month. A DSLR camera with fixed focal length lens (20mm) is adopted in order to maintain the stability of its internal geometry. During image acquisition, a convergent imaging scheme is essential in order to obtain strong imaging geometry with best positional accuracy. For each data acquisition period, a set of three-dimensional coordinates for all round white targets were obtained. Comparing with two different periods, we may evaluate the relative displacement of all targets by selecting several targets located on one side of the crack as control points through conformal transformation. Experimental results show that the proposed scheme can obtain reliable results and recognize the relative displacement caused by the movement of fault.

AB - The objective of this study is to perform high temporal frequency crustal deformation monitoring using close-range photogrammetric technique, which has high accuracy and spatial resolution, to distinguish small relative displacement caused by the movement of fault. For this purpose, we propose the use of coded targets and man-made permanent white round targets through close-range photo triangulation software that is capable of automatic recognition and referencing. The test site is located near Guanshan Township in eastern Taiwan where a significant rupture on the concrete wall of a drainage channel is caused by the movement of Chihshang creeping fault. We equally spread and fixed 786 round white targets on the wall using stainless nails and measure their coordinates every month. A DSLR camera with fixed focal length lens (20mm) is adopted in order to maintain the stability of its internal geometry. During image acquisition, a convergent imaging scheme is essential in order to obtain strong imaging geometry with best positional accuracy. For each data acquisition period, a set of three-dimensional coordinates for all round white targets were obtained. Comparing with two different periods, we may evaluate the relative displacement of all targets by selecting several targets located on one side of the crack as control points through conformal transformation. Experimental results show that the proposed scheme can obtain reliable results and recognize the relative displacement caused by the movement of fault.

UR - http://www.scopus.com/inward/record.url?scp=84879998672&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879998672&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781622769742

VL - 2

SP - 1691

EP - 1697

BT - 33rd Asian Conference on Remote Sensing 2012, ACRS 2012

ER -

Jhan JP, Rau J-Y, Ching K-E, Hsu SC, Rau R-J. Crustal deformation detection using close-range photogrammetry. In 33rd Asian Conference on Remote Sensing 2012, ACRS 2012. Vol. 2. 2012. p. 1691-1697