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Learn how to automatically correct misalignments in your ortho-image stacks to improve time-series analysis

April 30, 2021
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Questions & Answers

Is this shift always present between images of the same platform/sensor even over a brief temporal span?

The shift is a common issue, but not always present. Furthermore, the magnitude of the shift varies from ortho to ortho. Main reason for the shift are:

- Using difference control sources
- Difference algorithms
- Difference accuracy requirements

Is this shift always present for different platforms (e.g. aerial to satellite to UAV

The shift is much more likely and often more significant between ortho-images of different platform types

What are you using to measure the CEP90/RMSE before and after Super Registration?

We have a job in Enterprise called Accuracy Assessment Map that was used. 

One of the algorithms in the Super Registration workflow (SUPERMATCH) also produces an accuracy assessment, which can be accessed in CATALYST Professional

What is the accuracy level of Super Registration?

Super Registration is capable of 1/10th of a pixel accuracy.

Can the Super registration correct problems related to resolution differences between archive imagery?

Super Registration can help align images of varying resolutions. In this webinar we showcased an example of aligning Worldview-2 imagery with 0.5m resolution and UAV imagery with 0.05m resolution and achieved sub-pixel accuracy.

What CATALYST Bundle is Super Registration included with?

Super Registration is available in CATALYST Professional (all bundles), CATALYST Enterprise and CATALYST Microservices