GNU Astronomy Utilities - Tasks: task #13557, WCS meta-data of many images in a...
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task #13557: WCS meta-data of many images in a table
Submitter: | Mohammad Akhlaghi <makhlaghi> | ||
Submitted: | Mon 20 Apr 2015 06:14:33 AM UTC | ||
Should Start On: | Sun 19 Apr 2015 03:00:00 PM UTC | Should be Finished on: | Sun 19 Apr 2015 03:00:00 PM UTC |
Category: | All Gnuastro | Priority: | 7 - High |
Item Group: | New feature | Status: | Postponed |
Privacy: | Public | Percent Complete: | 0% |
Assigned to: | None | Open/Closed: | Open |
Effort: | 0.00 |
Wed 19 Sep 2018 01:03:44 PM UTC, comment #2: |
Mohammad Akhlaghi <makhlaghi>![]() |
Tue 18 Sep 2018 05:16:35 PM UTC, comment #1: Updated statement: In some contexts it is necessary for Gnuastro's programs to load the WCS meta-data of many files. One example can be using Crop's WCS-mode cropping which can stitch many images if the object lies on the border of multiple images. Another can be MakeCatalog when it wants to map the segmentation map on a region in the border of another image (not yet fully implemented).
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Mohammad Akhlaghi <makhlaghi>![]() |
Mon 20 Apr 2015 06:14:33 AM UTC, original submission:
Add an option to save/read the required meta-data of each input image in an ASCII file. Such that all the information in the inputimgs structure (in main.h) is included in it. Such a file can become important when the images are always the same and there are lots of requests. The reason a binary might be necessary is that it includes the wcsprm structure of WCSLIB. We certainly don’t want to run the WCSLIB settings each time (they are not thread safe and can be slow). The good thing with an ASCII file is that it is transparent. |
Mohammad Akhlaghi <makhlaghi>![]() |
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Follow 3 latest changes.
Date | Changed by | Updated Field | Previous Value | => | Replaced by |
---|---|---|---|---|---|
2018-09-18 | makhlaghi | Category | Crop | ![]() |
All Gnuastro |
Priority | 1 - Later | ![]() |
7 - High | ||
Summary | Read image meta-data from file | ![]() |
WCS meta-data of many images in a table |
The IVOA MOC (Multi-Order Coverage map) standard is also apparently a good way to efficiently find overlaps between images on the Sky for this task. We should look into it.
Maybe the table doesn't have to be raw WCS information, but instead use the HEALPix sky tessellation algorithm for making the coverage of each image on the celestial sphere.