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Abstract. This paper outlines an investigation into combining multiple images of
a selected scene into one image data space using digital
image processing techniques. Due to the rapid development of image
processing technology, electro-optic devices, and other related systems, the modern
battlefield is becoming densely populated with different imaging platforms. Currently
no process exists by which multiple images of the same
scene, taken from various platforms, are integrated into one image
data space. If various image formats, taken from different perspectives
are fused into one common data space, then intercommunications between
the imaging platforms can be achieved. A technique known as
geometric transformation has been used. This utilizes the collection of
control points from all image sets, which are matched appropriately
so that a second order polynomial equations can be fitted,
this then enables the construction of a common image domain.
Such a technique can be used for per-selecting targets for
submunitions or can allow submunitions to select and allocate targets
when delivered in a salvo to target a common area.
This paper outlines the process required to extract and match
common features from a number of similar images and then
uses these points to fit such a second order polynomial
which links the images together. The paper concludes with an
outline of the types of operations where this process can
be employed.
Related topics:
image processing, sensors, surveillance and target acquisition
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