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I am attempting to combine two radar images, each of which is a 3-dimensional cube with a range dimension, an azimuth angle dimension, and an elevation angle dimension. One image has high azimuth resolution but low elevation resolution, while the other has high elevation resolution but low azimuth resolution.

Is there an effective way to combine these images to create a single image, and what sort of resolution can I achieve with the new image?

Thank you in advance for any advice or resources.

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  • $\begingroup$ So you have two different images of the same scene ? How different are they? Only resolutions ? And effective means: accurate, or efficient, or practical ? $\endgroup$
    – Fat32
    Commented Sep 30, 2019 at 22:02
  • $\begingroup$ Two images of the same scene, yes. Only the resolutions should be different. I'm starting with a proof of concept, so accurate first, then I'll work on efficient and practical later. $\endgroup$ Commented Sep 30, 2019 at 22:19
  • $\begingroup$ So what you are looking for is some sort of a reconstruction algorithm. If you think your 'images' have x, y, z coordinates, your first image has a high resolution in x-y where the second one has high resolution in y-z. Start with y and use a matching algorithm to match all points of these two images. This matching can compare for example Euclidean distance of the points. $\endgroup$
    – Tyathalae
    Commented Oct 1, 2019 at 15:36
  • $\begingroup$ the way you use the term “image” is a bit ambiguous. typically these are likelihood cells or filter outputs. can you elaborate a bit like the dimensions of the cubes. it may be more accurate to say you are asking about data fusion $\endgroup$
    – user28715
    Commented Oct 1, 2019 at 16:18
  • $\begingroup$ The general answer is that this is possible. However, you have not provided nearly enough information to allow an effective answer. For example, do the two images have any overlap in the frequency domain? $\endgroup$ Commented Aug 14, 2023 at 19:35

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Occasionally people try to combine two spectrograms, one with high temporal resolution, the other with high frequency resolution. The question rapidly becomes «how to combine them». See eg this thread: Combining spectrograms with different windows to getting arbitrary time and frequency resolution

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