Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

MicaSense ® RedEdge Multi-channel Image Registration #183

Open
wanghanruibaba opened this issue Apr 11, 2022 · 2 comments
Open

MicaSense ® RedEdge Multi-channel Image Registration #183

wanghanruibaba opened this issue Apr 11, 2022 · 2 comments

Comments

@wanghanruibaba
Copy link

I am using the MicaSense ® RedEdge camera to take close-up pictures. Due to the various imaging systems in each channel, a phase difference is generated in the captured 5-channel images. How to align and register the 5-channel images, looking forward to your reply ,thanks

@fdarvas
Copy link
Contributor

fdarvas commented Apr 26, 2022

For shots at close distances, a band-to-band alignment of different channels - such as e.g. red to green - requires the solution of a dense stereo matching problem.

A method for this is described here:

High-density stereo image matching using intrinsic curves
December 2018ISPRS Journal of Photogrammetry and Remote Sensing 146:373-388
DOI: 10.1016/j.isprsjprs.2018.10.005

Ideally this would be done between two channels that are most similar in the spectral response (such as green and blue) and are the most separated.

If a solution for the dense matching is found, i.e. basically a full depth map for each pixel in e.g. the green channel is available, a mapping to the other bands can be found via construction of the trifocal tensor.
At this point, only the camera rig-relatives and translations are required, which can be found in the image metadata.

This is described in detail here:

Shahbazi, M., and C. Cortes. "Seamless Co-Registration of Images from Multi-Sensor Multispectral Cameras." The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 42 (2019): 315-322.
https://pdfs.semanticscholar.org/dff5/e50ebed805f18ca03ec9e95fdb5a4c507801.pdf

This is a rather complex problem and thus we will not support it in this toolbox.

@wanghanruibaba
Copy link
Author

Your reply gave me ideas, thank you. However, the article High-density stereo image matching using intrinsic curves does not have download permission, it would be great if you can provide the original text. Thanks again

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants