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(91K) These images show forward-look, framing-mode images of a tank, a truck, and an Army jeep (HUMV) on a plain. The left-most image shows a tank in (clockwise from the upper left) boresight video, IR passive, laser radar range, and laser radar intensity; while the center image shows a truck in the same sequence. The right-most image shows the jeep in boresight video (upper image) and range (lower image). Note the differences between the passive and intensity images, which are degraded by laser speckle. In particular, note the flat hot metal roof of the truck provides a strong passive signal but essentially no intensity return due to its glancing orientation with respect to the laser transmitter. The glancing surfaces show up in the range image as dropouts, but all three targets stand out in the range images due to their verticality. Note that the gun barrel of the tank is clearly discernible in the range image. The full precision of the radar range data is not displayed in these images, but the display precision emphasizes the usefulness of the radar in discerning targets of interest from background.
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(129 K) Forward-look linescan images of several military vehicles on a plain, in range (upper images in left and center GIFs, lower image in right GIF) and in passive IR. The leftmost GIF shows an assortment of vehicles on a plain with two clumps of trees; the center image shows two large vehicles on an open plain, and the rightmost image shows another collection of vehicles in a field with a single clump of trees on the upper right. Note how the range images again distinguish targets from the sloping backgrounds and from clutter by their abrupt verticality; the full precision of the radar is not displayed in these range images in order to emphasize the targets. Note also the relative detail of the passive images; the two channels provide complementary information on the scenes. The two leftmost GIFs show individual linescan images, while the rightmost image is a stacked composite of sequential linescans as the plane moves over the scene at 140 knots. In this composite image a systematic or pattern noise is evident; this pattern noise results from imperfections in the receiver and non-uniformities in the transmitter. Such systematic noise is not included in any single-pixel description of image data (as, for example, in the IRAR sensor description document) but clearly must be accounted for by any useful image processing system.
(116 K) Millimeter-wavelength radar (MMW) and passive IR images of a
scene with multiple targets. Note the millimeter-wave image peaks provide useful cues as to
where in the passive image to look for the three indicated targets.
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