Computer Vision
Published January 31, 2024 | Version 1.0
Poster Open

KARIOS : A fast & efficient open source tool for geometric deformation analysis

Creators

  • 1. Telespazio France
  • 2. ROR icon European Space Research Institute

Description

The Earthnet Data Assessment Project (EDAP+) continues the work of its predecessor (EDAP 2018 – 2021) and is responsible for assessing
the quality and suitability of candidate missions being considered for ESA's Earthnet Programme as Third Party Missions (TPM). 

Early data assessments are publicly disclosed to the community ([RD-1]). Based on its own infrastructure ([RD-2]), Telespazio is responsible for the
analysis of Very High Resolution optical data, including assessment on geometry, radiometry and image quality ([RD-3]).


In most cases, inherited from design tradeoffs in the new space domain, the geometry remains a critical aspect. Main outcomes from
various workshops ([RD-4]) point out the needs regarding openly available reference data and openly available data assessment
processing tools. In this context, a new tool dedicated to geometric assessment has been created:
Kanade Lucas Tomassi (KLT) based Algorithm for Registration of Images from Observing System' (KARIOS) 
 

The main driver of KARIOS initiative is to support operator for following quality control assessments
• Multi temporal geolocation to evaluate the geolocation stability of the mission,
• Absolute geolocation to evaluate the geolocation accuracy of an input image grid
against a well-controlled absolute reference image,.
• Band-to band registration to evaluate co-registration between image band grids, all
within a same product 
 

Other (English)

The tool is released under  Apache 2.0 open source software license, check   KARIOS on Github

 

Files

VHRODA2023_KARIOS_Final_zenodo.pdf

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Additional details

Dates

Available
2023-11

References

  • [RD-1] ESA/EDAP VHR, HR and MR Optical Missions Webpages, https://earth.esa.int/eogateway/activities/edap/vhr-hr-mr-optical-missions
  • [RD-2] Saunier, S.: Reference Data and Methods for Validation of Very High Resolution Optical Data Within ESA / EDAP Project, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-15501, https://doi.org/10.5194/egusphere-egu21-15501
  • [RD-3] Saunier, S.; Karakas, G.; Yalcin, I.; Done, F.; Mannan, R.; Albinet, C.; Goryl, P.; Kocaman, S. SkySat Data Quality Assessment within the EDAP Framework. Remote Sens. 2022, 14, 1646. https://doi.org/10.3390/rs14071646
  • RD-4] The Very High-resolution Radar & Optical Data Assessment (VH-RODA) Workshophttps://earth.esa.int/eogateway/events/vh-roda
  • [RD-5] Kocaman, S., Debaecker, V., Bas, S., Saunier, S., Garcia, K., Just, D., 2022. A Comprehensive Geometric Quality Assessment Approach for MSG SEVIRI Imagery. Advances in Space Research. https://doi.org/10.1016/j.asr.2021.11.018
  • [RD-6] Shi, J., Tomasi, C., 1994. Good features to track. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Seattle, WA, USA, 21–23 June, pp. 593-600
  • [RD-7] Lucas, B. D., & Kanade, T., 1981. An iterative image registration technique with an application to stereo vision. International Joint Conference on Artificial Intelligence, 674–679
  • [RD-8] Saunier, S.; Pflug, B.; Lobos, I.M.; Franch, B.; Louis, J.; De Los Reyes, R.; Debaecker, V.; Cadau, E.G.; Boccia, V.; Gascon, F.; Kocaman, S. Sen2Like: Paving the Way towards Harmonization and Fusion of Optical Data. Remote Sens. 2022, 14, 3855. https://doi.org/10.3390/rs14163855