Paper
6 August 2018 A procedure for change detection from images acquired without a fixed camera
Luigi Barazzetti, Mattia Previtali, Fabio Roncoroni
Author Affiliations +
Proceedings Volume 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018); 107731N (2018) https://doi.org/10.1117/12.2324644
Event: Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 2018, Paphos, Cyprus
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Luigi Barazzetti, Mattia Previtali, and Fabio Roncoroni "A procedure for change detection from images acquired without a fixed camera", Proc. SPIE 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 107731N (6 August 2018); https://doi.org/10.1117/12.2324644
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KEYWORDS
Vegetation

Cameras

RGB color model

Image registration

Sensors

Calibration

Head

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