Digital Image Correlation using an FFT-approach

Versione 2.0.0.1 (23 MB) da Valentin

State of the Art, validated, & calibrated DIC tool - for 8bit, equal dim, single- and multi-channel images, with geo-information forwarding

https://github.com/bickelmps/DIC_FFT_ETHZ

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Aggiornato 28 giu 2024

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Quantify displacement of features (landslides, glaciers, etc.) in a series of images over time & retrieve displacement velocities. Output data include CVP 2D-displacement maps, the displacement resultant (magnitude), displacement vectors, as well as a geo-rectified GIS-ready map (optional).
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This tool is being used by:
- Engineering Geology Group, ETH Zurich, Switzerland
- Swiss Seismological Service, ETH Zurich, Switzerland
- Department Planets and Comets, Max Planck Institute for Solar System Research, Germany
- [...]
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Visit us on GitHub for more information: https://github.com/bickelmps/DIC_FFT_ETHZ
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Please cite this routine as:
Bickel, V.T.; Manconi, A.; Amann, F. Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities. Remote Sens. 2018, 10, 865.
http://www.mdpi.com/2072-4292/10/6/865
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MIT License
Copyright (c) 2018 Valentin Tertius Bickel & Andrea Manconi

Cita come

Valentin (2025). Digital Image Correlation using an FFT-approach (https://github.com/bickelmps/DIC_FFT_ETHZ), GitHub. Recuperato novembre 19, 2025.

Bickel, Valentin, et al. “Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities.” Remote Sensing, vol. 10, no. 6, MDPI AG, June 2018, p. 865, doi:10.3390/rs10060865.

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Creato con R2017a

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Mathematics and Optimization > Mapping Toolbox > Map Display >
Radar > Mapping Toolbox > Map Display >
Engineering > Mining and Minerals Engineering > Mining Geology >

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run_pixel_offset.m

DIC

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione	Pubblicato	Note della release
2.0.0.1	28 giu 2024	Updated "releasing from Master branch"
2.0.0.0	14 mag 2020	- Fixed some minor bugs - Implemented the forwarding of geotiff information - Improved the description of all input parameters - Added more examples
1.0.0.0	5 giu 2018	- Updated description & link Updated citation Created publication link - License updated - Description updated - Title updated

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.

MLA	Bickel, Valentin, et al. “Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities.” Remote Sensing, vol. 10, no. 6, MDPI AG, June 2018, p. 865, doi:10.3390/rs10060865.
APA	Bickel, V., Manconi, A., & Amann, F. (2018). Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities. Remote Sensing, 10(6), 865. MDPI AG. Retrieved from https://doi.org/10.3390%2Frs10060865
BibTeX	@article{Bickel_2018, doi = {10.3390/rs10060865}, url = {https://doi.org/10.3390%2Frs10060865}, year = 2018, month = {jun}, publisher = {{MDPI} {AG}}, volume = {10}, number = {6}, pages = {865}, author = {Valentin Bickel and Andrea Manconi and Florian Amann}, title = {Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities}, journal = {Remote Sensing} }