Digital Image Correlation using an FFT-approach

Version 2.0.0.1 (23 MB) by 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

0.0

(0)

428 Downloads

Updated 21 Dec 2023

View License on GitHub

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).
_______________________________
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
- [...]
_______________________________
Visit us on GitHub for more information: https://github.com/bickelmps/DIC_FFT_ETHZ
_______________________________
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
___________
MIT License
Copyright (c) 2018 Valentin Tertius Bickel & Andrea Manconi

Cite As

Valentin (2024). Digital Image Correlation using an FFT-approach (https://github.com/bickelmps/DIC_FFT_ETHZ), GitHub. Retrieved April 19, 2024.

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.

View more styles

MATLAB Release Compatibility

Created with R2017a

Compatible with any release

Platform Compatibility

Windows macOS Linux

Tags Add Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

run_pixel_offset.m

DIC

Versions that use the GitHub default branch cannot be downloaded

Version	Published	Release Notes
2.0.0.1	21 Dec 2023	Updated "releasing from Master branch"
2.0.0.0	14 May 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 Jun 2018	- Updated description & link Updated citation Created publication link - License updated - Description updated - Title updated

To view or report issues in this GitHub add-on, visit the 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} }