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Coregistration
Description
Image coregistration automatically detects and corrects sub-pixel misalignments between remote sensing datasets. It is designed to register (align) a source image to a reference image.
Technical information
Source | Any tasking or catalog collection with RGB or panchromatic bands |
Required parameters | - Console: If your chosen input data meets the above specifications you will be able to run your job - API: You will need to input an Output title and the Input data |
Accuracy | For better performance, ensure the following: -Both STAC items have matching geometric and radiometric processing levels. -The GSD of the two STAC items shouldn’t differ by more than 25%. |
Requirements for input imagery | - Both STAC items must be CNAM-compatible (the data was added to storage starting in 2023 & the data comes from a supported collection). - Both STAC items must be georectified or orthorectified - The STAC items must have matching multispectral or panchromatic STAC assets - The geometries of the STAC items must overlap by at least 20% - The cloud coverage of the STAC items must be less than 25% |
Output data format | - GeoTIFF with coregistered image |
Output | The result will be added to your account as a STAC item in a new STAC collection. You can retrieve the resulting data in one of the following ways: - Open the console, go to Data management → Jobs - Retrieve the results via the API |
Algorithm performance and training data
The coregistration algorithm is independent of spatial or spectral characteristics and robust against high degrees of cloud coverage and spectral and temporal land cover dynamics. It is based on phase correlation for sub-pixel shift estimation in the frequency domain utilizing the Fourier shift theorem in a moving-window manner.
Further information
For more information, please visit the technical documentation.