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DSCOVR |
Jan 6 2006, 08:55 PM
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#101
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Senior Member Group: Members Posts: 2454 Joined: 8-July 05 From: NGC 5907 Member No.: 430 |
ADMIN NOTE: Please note that this topic was unavoidably poltical before the 'No Politics' rule. Please restrict future comments to the mission/spacecraft/news updates etc.
WHAT'S NEW Robert L. Park Friday, 6 Jan 06 Washington, DC DEEP SPACE CLIMATE OBSERVATORY KILLED. http://bobpark.physics.umd.edu/index.html -------------------- "After having some business dealings with men, I am occasionally chagrined,
and feel as if I had done some wrong, and it is hard to forget the ugly circumstance. I see that such intercourse long continued would make one thoroughly prosaic, hard, and coarse. But the longest intercourse with Nature, though in her rudest moods, does not thus harden and make coarse. A hard, sensible man whom we liken to a rock is indeed much harder than a rock. From hard, coarse, insensible men with whom I have no sympathy, I go to commune with the rocks, whose hearts are comparatively soft." - Henry David Thoreau, November 15, 1853 |
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Mar 7 2017, 03:13 PM
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#102
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Newbie Group: Members Posts: 11 Joined: 29-August 16 From: Israel Member No.: 8032 |
Hi
Sharing some nice results I had with interpolating EPIC images and projecting then on a planar map (equirectangular). https://vimeo.com/207296528/b9b8eee67c The video is at its optimal quality, in 4K resolution and 120Hz.. The images are generated in real-time as I stream the EPIC images (and their metadata) from the NASA website. Interpolation is made by simple blending of perspective projection on a 3D ellipsoid model of the Earth, executed in the GPU via a custom fragment shader. Good enough to look almost like optical flow. The conversion from 3D ellipsoid model into equirectangular map is also done in real-time, via a vertex shader on the GPU. Here is another video from my Blueturn app (freely available on all platforms), that shows better the transition between spheric and planar. https://vimeo.com/207296473/28f01f0807 Enjoy! |
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Mar 13 2017, 07:43 PM
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#103
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Junior Member Group: Members Posts: 22 Joined: 7-January 13 Member No.: 6834 |
Sharing some nice results I had with interpolating EPIC images and projecting then on a planar map (equirectangular). Great work, congrats ! I didn't work again on the data since last time, but apparently you achieve much better navigation/projection performance than I did. How did you improve it so dramatically ? I want to go back to work with such metadata !
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Mar 22 2017, 05:41 AM
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#104
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Newbie Group: Members Posts: 11 Joined: 29-August 16 From: Israel Member No.: 8032 |
Great work, congrats ! I didn't work again on the data since last time, but apparently you achieve much better navigation/projection performance than I did. How did you improve it so dramatically ? I want to go back to work with such metadata ! Thanks Stratespace. I had dramatic improvements after calculating the enclosing ellipse of the Earth instead of the enclosing circle. Plus I had a bug in the optimal enclosing circle. But the funniest is that after I did that, my resulting ellipse always had its normalized center rounded at (0.500,0.500) (yes zeros until the 3rd decimal), and the axis sizes being constantly at (0.777,0.776), accounting for the ellipsoid polar squeeze. It means that the images were originally aligned by NASA's EPIC team. In other words, the image is centered to the Earth center at 1 pixel precision. In other word, I worked hard for nothing That was not so a few months ago, but seems like a late refresh of the data brought this calibration improvement. Bottomline, you can proceed with your work and use the EPIC metadata as-is. Note that I'm using the L1B data from the EPIC website(https://epic.gsfc.nasa.gov/), not from the ASDC archive (https://eosweb.larc.nasa.gov/project/dscovr/dscovr_table). I don't think it makes much of a difference. However please note this explanation I once had from a member of the EPIC team: The level 1B (L1B) data is the science data product. This has the raw calibrated data that the scientists use. It also includes the complete geolocation information (per pixel lats/lons/angles, etc) and the astronomical/geolocation values required to do the calculations. The complete astronomical/geolocation metadata has been added to the images. Michael |
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