Open wtbarnes opened 3 years ago
Alternatively, if we think some of this functionality can be replaced by reproject, then we should do so.
It is common to use cross-correlation like alignment techniques to align images where the pointing is uncertain (e.g. aligning AIA maps and EIS maps, where there is a pointing uncertainty that means the WCS information is not correct at the desired precision). So there are distinct use cases for using reprojection and cross-correlation, and we should keep both.
A few things....
sunkit-image
?reproject
in conjunction with the co-alignment functionality.scikit-image
looks useful for the case when both images you want to register against each other have the same dimension. This covers a number of use cases.Note that all of this functionality now lives in sunkit_image.coalignment
.
I just wanted to be clear that this issue mentioned in the gsoc list is aiming to add a new example that demonstrates the co-alignment process on a set of similar images captured by different instruments, such as AIA and EIS? or is it looking for something else?
Yeah that sounds good.
Yeah that sounds good.
Thanks for the confirmation.
We have quite a few examples in the gallery for doing coalignment between two images using
reproject
. However, there is a fair bit of code insunpy.image.coalignment
for doing image alignment based on performing a cross-correlation between a layer and a template (usingskimage.feature.match_template
) rather than reprojection using information about the WCS.There are quite a few functions in that subpackage and a gallery example would help better guide users on how to effectively make use of them.
Alternatively, if we think some of this functionality can be replaced by
reproject
, then we should do so.