Image-based landslide monitoring system

Ming Chih Lu, Tien Yu Tang, Cheng Pei Tsai, Wei Yen Wang, I. Hsum Li

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

4 Citations (Scopus)

Abstract

A novel image-based landslide monitoring system proposed in this paper, which is using digital image processes methods to detect landslide occurred in any landslide occurred situation to achieve a non-contact landslide monitoring system by one image. The theory of this system is based on using a laser projector to project a laser beam to measurement box, which have two acrylic boards in the measurement box. When landslide occurred, the laser beam will generate two laser spots in image. To identify the coordinate of laser spots through an easy calculation, the system could get the landslide displacement and offset angle. According the measurement result, it could announce the warning and prevent the damage.

Original languageEnglish
Title of host publicationProceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
Pages638-643
Number of pages6
DOIs
Publication statusPublished - 2011 Aug 24
Event2011 International Conference on System Science and Engineering, ICSSE 2011 - Macao, China
Duration: 2011 Jun 82011 Jun 10

Publication series

NameProceedings 2011 International Conference on System Science and Engineering, ICSSE 2011

Other

Other2011 International Conference on System Science and Engineering, ICSSE 2011
CountryChina
CityMacao
Period11/6/811/6/10

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Keywords

  • Machine vision
  • image-based landslide monitoring system
  • landslide

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Lu, M. C., Tang, T. Y., Tsai, C. P., Wang, W. Y., & Li, I. H. (2011). Image-based landslide monitoring system. In Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011 (pp. 638-643). [5961981] (Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011). https://doi.org/10.1109/ICSSE.2011.5961981