April 17, 2023, 8:20 a.m. | Ruben Broekx

Radix - Medium medium.com

Working with satellite imagery becomes more difficult the longer you have to analyze a specific patch of land over time. This is because geometric errors cause the land to jitter, complicating land monitoring and inspection. In this blog post, we’ll explore a practical approach to co-register a temporal stack of optical satellite images, so you can focus best on what’s happening on the ground.

Example of jittering land observations

What causes misalignment and how to solve it

In remote …

analyze artificial intelligence blog computer vision correlation errors explore machine learning monitoring opencv practical remote-sensing satellite stack temporal

More from medium.com / Radix - Medium

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne