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Diffstat (limited to 'lib/skyline.py')
-rw-r--r-- | lib/skyline.py | 48 |
1 files changed, 48 insertions, 0 deletions
diff --git a/lib/skyline.py b/lib/skyline.py new file mode 100644 index 0000000..05fd279 --- /dev/null +++ b/lib/skyline.py @@ -0,0 +1,48 @@ +""" +skyline -- Manage outlines on the sky + +This module provides support for working with footprints on the sky. +Primary use case would use the following generalized steps:: + +1. Initialize SkyLine objects for each input image. This object would be the + union of all the input image's individual chips WCS footprints. +2. Determine overlap between all images. The determination would employ a + recursive operation to return the extended list of all overlap values + computed as [img1 vs [img2,img3,...,imgN],img2 vs [img3,...,imgN],...] +3. Select the pair with the largest overlap, or the pair which produces the + largest overlap with the first input image. This defines the initial + reference SkyLine object. +4. Perform some operation on the 2 images: for example, match sky in intersecting + regions, or aligning second image with the first (reference) image. +5. Update the second image, either apply the sky value or correct the WCS, then + generate a new SkyLine object for that image. +6. Create a new reference SkyLine object as the union of the initial reference + object and the newly updated SkyLine object. +7. Repeat Steps 2-6 for all remaining input images. + +This process will work reasonably fast as most operations are performed using +the SkyLine objects and WCS information solely, not image data itself. +""" +import pyfits + +import sphere + +class SkyLine(object): + def __init__(self,fname): + pass + + def add_image(self,skyline): + pass + + def compute_overlap(self, skyline): + pass + + def find_intersection(self, skyline): + pass + + def within(self, pos): + pass + + def create_wcs(self): + pass + |