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MicaSense ® RedEdge Multi-channel Image Registration #183
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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 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. 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. This is a rather complex problem and thus we will not support it in this toolbox. |
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 |
1-s2.0-S0924271618302752-main.pdf here you go |
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
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