Introduction
The
effect of speed
The
effect of many stacked images
When to use interlaced
stacking
How
to use Interlaced Stacking
Some
examples of interlaced stacking
Considerations
for taking exposures when interlaced stacking is to be used
Introduction
Arguably the most
important processing stage after image acquisition of a NEO is identification
of the target object within the images. Interlaced stacking is a technique that
helps locate the target in difficult circumstances (when the object is both
faint and fast moving and there is some degree of uncertainty in the predicted
position). Having used interlaced stacking to locate the object,
more normal stacking techniques would then be used to measure a set of
astrometric positions.
Finding bright moving
objects on a set of images is normally very straightforward, blinking
consecutive images using software such as Astrometrica allows the eye to notice
a moving object easily. Indeed, with bright objects that can be seen easily on individual
images,
there may be no need to stack images together to enhance the visibility of the
object any further (though stacking will generally allow more precise positions
to be measured, even for bright objects).
For fainter objects
moving at relatively slow speeds normal stacking
techniques work very well. Standard practice is to use all available images
to "track and stack"
into three equal sets to enhance the strength of the image of the moving object
in each set. These stacks can then be used to blink for motion (rather than using the individual images
as in the case of bright objects). The
stacking strengthens the image of the faint object while keeping it point-like
and, depending on the number of images stacked and the speed of the object the
stars will appear as trails.
The
effect of speed
However, in some
circumstances normal stacking techniques may not be enough. For a faint fast mover, if the
motion is great enough for the star trails to be stretched so much that instead
of solid trails the stars appear as a chain of individual star images, then
recognising the moving object is much more difficult, it will appear as a faint
point-like star, but so will all the faint stars in the image as well.
The
effect of many stacked images
Once the speed of the
object has reached the point where the star images can be seen as individual
dots rather than trails, then with traditional stacking both the speed of the
object and the faintness make identification much more difficult. To combat
faintness, more images need to be stacked together, but more images mean more
individual star images cluttering up the stacks. More images also implies that
the fast moving object will be found in very different parts of the field of
view in sequential
stacked images used for blinking, very difficult to pick out amongst the stars.
Interlaced stacking is
a simple track & stack technique that gets around these issues and can help reveal a fast moving NEO in a
crowded star field with remarkable ease and certainty by reducing the distance
an object appears to move when blinking two sets of images.
When to use interlaced
stacking
-
The speed of the
object needs to be great enough for there to be noticeable difference in
position between consecutive images (say a minimum of 2-3 pixels). As
well as the apparent motion of the object, image
transfer time from the CCD is a factor here, the longer the transfer time,
the longer the interval between consecutive exposures and therefore more
motion will be apparent, so comparatively slower moving objects will respond to interlaced
stacking if a CCD with slow readout time is being used ... and ...
-
The object is
too faint to be seen on individual images. Use traditional stacking
(or just blinking of unstacked images) to identify brighter objects.
How
to use Interlaced Stacking
The examples below have been
made from a set of 20 four second exposures of fast moving NEO 2006 JE
from 01 May 2006 when it was about magnitude +18.4 and moving at
94"/min. All 20 images have been stacked together and annotated (left
hand) and on the right hand side two halves of the images have been
stacked together and blinked to reveal the motion of the object. The first
example shows traditional stacking, the second example shows interlaced
stacking. Note that with interlaced stacking the object appears to move
much less between frames.
The method is most benefit in more crowded star fields,
or when more exposures need to be stacked together
(and therefore more star images are scattered throughout the images). |
Traditional Track & Stack |
Example |
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In a traditional track & stack
consecutive images are stacked together to form sets (in this case images
1 -10 and 11-20 are stacked to form two stacks to be blinked). The amount
the target moves between stacks depends on how far the object moves
between the start of the first exposures in each stack, i.e. images 1 and
11. |
Interlaced Stacking |
Example |
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With interlaced stacking, instead of stacking
consecutive images, alternate images are combined (normally just two
sets), e.g. all the odd numbered images and all the even numbered images,
so in the example above, images 1,3,5,7,9,11,13,15,17 & 19 are stacked
together and images 2,4,6,8,10,12,14,16,18 & 20 are stacked together.
Note that the amount the target moves between stacks again depends on how
far the object moves between the start of the first exposures in each
stack but this time the first exposures in each stack are images 1 &
2. This greatly reduces the change in position of the target between
stacks and makes it much easier to locate a faint fast moving target in a
crowded star field.
Because the apparent movement of the target object using
interlaced stacking depends on the interval between images 1 & 2 (or
one interval of motion), the movement of any suspect must be half
the distance between adjacent star images. The star trails consist of
images 1,3,5 etc and 2,4,6 etc and so are separated by 2 units of the
expected targets motion.
Once the object has been located by interlaced stacking,
the images would then be re-stacked, preferably into three (traditional)
sets, the object carefully re-located and measured. If real, it should
appear in all three stacks.
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Some
examples of interlaced stacking
-
Artificial
satellite IMP-8
moving at 66"/min.
-
NEO 2004
LA10 moving at 17"/min through an extremely rich
starfield in Aquila, as it appeared in Bill Allen's 05 July 2004 edition of
Major News About Minor Objects. Due to the density of stars this took extra
effort to determine which of the images needed to be left out when the NEO
was too close to the background stars.
-
NEO 2007
EH moving at 1249"/min during a very close approach to Earth on 11
March 2007
Considerations
for taking exposures when interlaced stacking is to be used
The time interval
between consecutive exposures needs to be as constant as possible
If the times are
irregular, then when blinking the images there will be a great deal of movement
presented to the eye because stars will not be in the same place in each of the
stacked images. Irregular start times may be caused by other processes running
during image download, slowing the computer down, or manual or semi-automatic
triggering of exposures etc.
Irregular exposure start times |
Regular exposure start times |
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The animations above show a set of 20
exposures of a rich star field stacked (for motion of 100"/min) into
2 sets of 10 exposures each. The original images have been enlarged
by a factor of 2.
On the left exposure some of the start times have been
simulated to be irregular by ± 3 seconds and on the right the exposure
start times are regular to better than 1 second.
Trying to find a real target object in the stacks with
irregular start times would be much harder than in the stacks with regular
start times. |
The target may be
obscured by a star
It is always possible
that the target may have moved in front of a background star during the run of
exposures. In that case, there may only be a single image of the target visible
during the blinking of interlaced stacked images. The measurer should be aware
of isolated single potential target images and try re-stacking the
interlaced images again but excluding the frames where a star may be involved.
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