Co-ordination of Images from Multiple Sensors Into One Common Data Space

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3-3-5.jpg

Co-ordination of Images from Multiple Sensors Into One Common Data Space

9.95

Author(s): Ian C. Luckraft; Vince Polito
No pages: 6
Year: 2000
Article ID: 3-3-5
Keywords: image processing, sensors, surveillance and target acquisition
Format: Electronic (PDF)

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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 utilises 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 pre-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.