Stephen C. Cain

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A computationally efficient method for image registration is investigated that can achieve an improved performance over the traditional two-dimensional (2-D) cross-correlation-based techniques in the presence of both fixed-pattern and temporal noise. The method relies on transforming each image in the sequence of frames into two vector projections formed by(More)
A statistical algorithm has been developed to compensate for the fixed-pattern noise associated with spatial nonuniformity and temporal drift in the response of focal-plane array infrared imaging systems. The algorithm uses initial scene data to generate initial estimates of the gain, the offset, and the variance of the additive electronic noise of each(More)
  • Chris Zingarelli, Eric Pearce, Richard Lambour, Travis Blake, Curtis J. R. Peterson, J. Chris Zingarelli +1 other
  • 2014
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. ABSTRACT The Space Surveillance Telescope (SST) is a Defense Advanced(More)
1. ABSTRACT A laser-illuminating imaging system operating in the presence of atmospheric turbulence will encounter several sources of noise and diffraction induced errors that can make postprocessing the images difficult. As the beam propagates, turbulence induced tilt will cause the beam to wander off axis from the target. This is especially troublesome in(More)
Recent interest in the collection of remote laser radar imagery has motivated novel systems that process temporally contiguous frames of collected imagery to produce an average image that reduces laser speckle, increases image SNR, decreases the deleterious effects of atmospheric distortion, and enhances image detail. This research seeks an algorithm based(More)
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