Scientific Computing with Python 2022


makepath Senior Machine Learning Engineer Dr. Dylan Stewart recently presented at
Scientific Computing with Python 2022 (SciPy 2022) in Austin, Texas.

Dr. Stewart presented a poster titled “Georeferencing Historical Archives with Deep Learning,” where we matched historical and modern imagery in the State of Texas.

Historical aerial imagery of Texas collected during the 1970s can now be linked to satellite imagery collected recently for easy comparison of decades of changes. 

In this post, we will cover our presentation and we will share SciPy 2022 resources you may find useful.

What is SciPy? 

SciPy is an annual conference that focuses on applications for the Python language. 

Attendees spanned academia, private industry, government, and Python enthusiasts. 

Key milestones of the conference include the sprints and tutorial sessions

Georeferencing Historical Archives with Deep Learning at SciPy 2022

Dr. Dylan Stewart, Senior Machine Learning Engineer at makepath, presented at the SciPy 2022 Poster session.

The poster, titled “Georeferencing Historical Archives with Deep Learning” covers the collaboration between makepath and the Texas Natural Resources Information System (TNRIS).

Dr. Stewart walked conference attendees through the process of aligning historical grayscale imagery with reference RGB imagery.

Dr. Dylan Stewart Presenting his Poster: Georeferencing Historical Archives with Deep Learning

Senior Machine Learning Engineer, Dr. Dylan Stewart, presenting at SciPy 2022.

Dr. Stewart’s poster session covered the entire workflow, from data curation to final results.

Two machine learning models were used to reference and mosaic the imagery and covered in the poster: 

  • SuperPoint: used to obtain keypoints and descriptors in order to mosaic the imagery.
  • H-Net: used to provide matching scores for historical grayscale to reference RGB imagery
Poster: Georeferencing Historical Archives with Deep Learning

Poster: “Georeferencing Historical Archives with Deep Learning”.

We collected all the resources we could find covering SciPy 2022, in case you missed it: 

SciPy 2022 Tracks

The main conference topic tracks this year were: 

  • Data Life Cycle
  • Machine Learning & Data Science

Mini-Symposia this year included:

  • Earth, Ocean, Geo, & Atmospheric Science
  • Engineering
  • Materials & Chemistry
  • Physics & Astronomy
  • Maintainers Track
  • SciPy Tools

Resources from SciPy 2022

SciPy 2022 HomePage

SciPy Twitter

SciPy Instagram

YouTube Recordings: Main Tracks & Conference

Lightning Talks

Tutorials

Data Life Cycle

Machine Learning & Data Science

Keynotes

YouTube Recordings: Mini-Symposia Tracks

Earth, Ocean, Geo, & Atmospheric Science

Engineering (videos no longer publicly available)

Materials & Chemistry

Physics & Astronomy

Maintainers Track

SciPy Tools

Want to Attend SciPy 2023?

Keep an eye out for live updates from the SciPy Twitter, or check back here for more resources.

If you have any questions about “Georeferencing Historical Archives with Deep Learning”, or want to learn more about how you can get involved in the open source geospatial community: