Trends in detecting changes from repeated laser scanning data

Conference paper (2013)

Authors

R.C. Lindenbergh

Department

Geoscience and Remote Control () (TU Delft)

Review Point clouds Laser scanning Data quality Change detection Deformation analysis

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Published Date

31-12-2013

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Source:

Proceedings of the 2nd Joint International Symposium on Deformation Monitoring (JISDM), Nottingham (UK), 9-11 Sept. 2013; preprint

Faculty

Civil Engineering and Geosciences

Department

Geoscience and Remote Control

Abstract

Change detection is an important application of laser scanning data. It is also a challenging application as errors that are inevitably present when determining the geometric state of a scene of interest in a certain epoch will somehow add up when comparing the geometric state between epochs. As a consequence it is often difficult to distinguish real changes from differences caused by measurement and/or processing errors. On top of that, data volumes are rapidly increasing. Therefore successful change detection methods should not only be robust against errors but also computational efficient. In this paper a not necessarily complete overview of recent methodology is given that is presented in connection with the applications considered by the original authors.

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