A novel method for change detection from sequences of terrestrial (close-range) images is illustrated and discussed. The method was developed to analyze changes over a very long period of time (years). The proposed case study is the monitoring project of a rockfall, in which the first image was acquired in 2011, i.e. 7 years ago. The method does not rely on a fixed camera, so that the same camera can be removed and used for other applications. A procedure able to recover the alignment of the different images is required before running a image-to-image comparison for change detection. In the second step of the process, normalized multispectral cross correlation analysis with additional vegetation filtering is used to determine variations in the scene.

A procedure for change detection from images acquired without a fixed camera

Barazzetti, Luigi;Previtali, Mattia;Roncoroni, Fabio
2018-01-01

Abstract

A novel method for change detection from sequences of terrestrial (close-range) images is illustrated and discussed. The method was developed to analyze changes over a very long period of time (years). The proposed case study is the monitoring project of a rockfall, in which the first image was acquired in 2011, i.e. 7 years ago. The method does not rely on a fixed camera, so that the same camera can be removed and used for other applications. A procedure able to recover the alignment of the different images is required before running a image-to-image comparison for change detection. In the second step of the process, normalized multispectral cross correlation analysis with additional vegetation filtering is used to determine variations in the scene.
SIXTH INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF THE ENVIRONMENT (RSCY2018)
9781510621176
Alignment; Change Detection; Monitoringc; Registration; Electronic, Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1071627
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