Video stabilisation results obtained using different tools for UAS-based image velocimetry

This dataset contains unstabilised and stabilised images from unmanned aerial systems during image velocimetry campaigns. Stabilised images were obtained using seven digital image stabilisation tools:

FFT-CUAS (https://bitbucket.org/SIENA_Research/fishstream)

FFT-DCH (https://github.com/salpeha/FFTVidStabilization)

SSIMS (https://github.com/ljubicicrobert/SSIMS)

KLT-IV (https://sourceforge.net/projects/klt-iv)

VISION/FAST (https://doi.org/10.17605/OSF.IO/HBRF2)

FlowVeloTool/AKAZE (https://github.com/AnetteEltner/FlowVeloTool)

Blender (https://www.blender.org)

The tools have been tested with three case studies with different types and magnitudes of motion commonly found in UAS/UAV video footages:

Kolubara river,

Alpine river, and

Basento river.

The structure of the repository is: /Case_study/Stabilisation_tool_results. To reduce the repository size, only images are included. In order to create videos from the provided images, one can use the provided Python script (for Python v3+).