Projection of meteorology radar images onto a sphere

AI Thread Summary
The discussion centers on a project involving the merging of images from multiple meteorology radars onto a spherical surface. Participants explore software options for this task, highlighting the potential of svgalib's "threeDkit" for Earth projection, although concerns about high-resolution performance are noted. The conversation delves into methods for merging images, specifically whether to use geometric data for alignment and clipping or to analyze the image data for overlaps. One contributor mentions having found software that can automate the warping of images, indicating a potential solution for the project. Overall, the focus is on finding effective tools and techniques for accurately merging radar images in a spherical format.
Caffeinomane
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Hello everybody, I am working on a project for merging the images of multiple meteorology radars covering a large area. I would like to project each of the images onto a spherical surface and merge them.

Do you know if there is a piece of software that can help me with that?
I can develop in many programming languages, so that is not a problem.
 
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Caffeinomane said:
Hello everybody, I am working on a project for merging the images of multiple meteorology radars covering a large area. I would like to project each of the images onto a spherical surface and merge them.

Do you know if there is a piece of software that can help me with that?
I can develop in many programming languages, so that is not a problem.

I saw a really interesting Earth projection program test for svgalib's "threeDkit" adaptation of image isn't difficult only problem is running high resolutions with that particular library.
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it looks like a simple opengl like api.
I also saw a series of images for the animation frames of the Earth spinning from the motif widget manager, a sprite generator is like what I am thinking.
 
Hey Caffeinomane and welcome to the forums.

In what way do you want to merge the images? Do you want basically just use geometric data to clip the unwanted overlap and align the images or do you want to try and use the image data itself and analyze the images to which part of the images are part of the overlap so that you can calculate the mapping information from the image data and not solely just the geometric data?

(When I say geometric data I am referring to coordinate data points on the Earth that correspond to specifying the boundaries that correspond to the image in the context of the geometry that is being described).
 
If I am correct you are trying to do this Projection Sphere , I was looking into this and I could even get software to warp the images together near automatically as well. Good luck
 
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