Simulated dynamic effects of atmospheric turbulence on IR digital imagery

Jordan, Jay B.; Watkins, Wendell R.; Palacios, Fernando R.; Billingsley, Daniel R.

doi:10.1016/1350-4495(95)00127-1

Cited by 2 publications

(3 citation statements)

References 15 publications

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“…5 Contrast transmission and optical turbulence distortion of the propagated imagery could be characterized as well. 14,33 Because the contrast transmission is dependent upon the product of spectral radiance times atmospheric transmission times the detector response, this led to bandpass optimization for the use of thermal imaging for long path applications. 17 These effects were summarized in a paper presented at the 1993 Society of Photo-Optical Instrumentation Engineers Symposium in Orlando, FL.…”

Section: The Nature Factormentioning

confidence: 99%

Multispectral Image Processing: The Nature Factor

Watkins

2000

Int. J. Patt. Recogn. Artif. Intell.

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The images processed by our brain represent our window into the world. For some animals this window is derived from a single eye, for others, including humans, two eyes provide stereo imagery, for others like the black widow spider several eyes are used (8 eyes), and some insects like the common housefly utilize thousands of eyes (ommatidia). Still other animals like the bat and dolphin have eyes for regular vision, but employ acoustic sonar vision for seeing when their regular eyes do not work such as in pitch black caves or turbid water. Of course, other animals have adapted to dark environments by bringing along their own lighting such as the firefly and several creatures from the depths of the ocean floor. Animal vision is truly varied and has developed over millennia in many remarkable ways. We have learned a lot about vision processes by studying these animal systems and can still learn even more.

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Section: The Nature Factormentioning

confidence: 99%

Multispectral Image Processing: The Nature Factor

Watkins

2000

Int. J. Patt. Recogn. Artif. Intell.

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“…respectively, for the stereo arrangement shown inFigure 1, the expression for depth of the world point w(X, Y, Z) can be written as fXb(2) (Xr -x1)Note that the disparity in the direction perpendicular to the epipolar line is zero, i.e. Yi = Yr, due to the binocular camera geometry.SPIE Vol.…”

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confidence: 99%

“…of practical and useful suite of algorithms to: (1) generate a range map and 3-D representation of a scene, and (2) enhance the detection of low contrast targets.…”

mentioning

confidence: 99%

Novel multiple wide-baseline stereo approach for target ranging

1996

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Binocular stereo is recognized as a useful approach for extracting range information from images. This approach is passive and it can provide detailed depth information. In this paper we extend the area-based stereo approaches, to make them well suited for target ranging applications. In this domain it is required that the stero approach should be able to handle relatively large depth of fields in outdoor environments. This is accomplished by using widebase lines in the placement of cameras. Also, in order to minimize the false alarms, multiple binocular cameras are utilized. Algorithmic development of this multiple, widebaseline stereo approach is presented with the help of experiments use random dot stereograms. Preliminary evaluation with a series of outdoor images is also presented.

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Simulated dynamic effects of atmospheric turbulence on IR digital imagery

Cited by 2 publications

References 15 publications

Multispectral Image Processing: The Nature Factor

Multispectral Image Processing: The Nature Factor

Novel multiple wide-baseline stereo approach for target ranging

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