1 June 1985 Electronic Image Alignment: Implementation And Applications To Imaging System Design
Allan J. Mord, Neil H. Endsley, Eric Ramberg, Harold J. Reitsema
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Abstract
A new technique has been developed for geometrically rectifying images to subpixel accuracy in real time through high fidelity resampling. This technique permits significant simplification and cost reduction for a remote sensing system by relaxing the optical/mechanical alignment tolerances by about two orders of magnitude. A pipelined resampling processor has been built whose small size, weight, and power consumption permit it to be used on board a spacecraft or other vehicle. The high throughput of the processor prevents data logjams and permits the use of resampling kernels with better MTF and phase linearity than previously practical. A new design criterion that produces improved uniformity of MTF in the final image has been identified for the resampling kernels. These improvements over conventional resampling techniques result in improved data quality delivered to the end user and offer opportunities for streamlined data distribution. This technique and processor can also be applied to image motion compensation, data set merging, man-in-the-loop image warping, and image motion generation.
Allan J. Mord, Neil H. Endsley, Eric Ramberg, and Harold J. Reitsema "Electronic Image Alignment: Implementation And Applications To Imaging System Design," Optical Engineering 24(3), 243507 (1 June 1985). https://doi.org/10.1117/12.7973516
Published: 1 June 1985
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Imaging systems

Image processing

Modulation transfer functions

Data processing

Optical alignment

Remote sensing

Sensing systems

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