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Proceedings ArticleDOI

The Pipelined Resampling Processor: Performance Of A Development Unit Which Is Applicable To A Wide Range Of Real-Time Imaging Applications

Neil H. Endsley, +3 more
- Vol. 0504, pp 149-161
TLDR
The Pipelined Resampling Processor was presented to this conference in 1983 in concept as a practical solution to real-time high resolution geometric image rectification needs and performance results obtained from the development unit completed in late 1983 are presented.
Abstract
The Pipelined Resampling Processor (PRP) was presented to this conference in 1983 in concept as a practical solution to real-time high resolution geometric image rectification needs. In the present report we present performance results obtained from the PRP development unit completed in late 1983. The small size, weight, and power requirements of the PRP and its high throughput make it very well suited for space and airborne applications where goemetric correction of image data must be done autonomously in real-time. This high resolution geometric correction is a necessary adjunct to applications using frame differencing or frame averaging for motion compensation, moving target indication, noise suppression or data compression as well as applications requiring precise correction of focal plane sampling distortions. By equipping the PRP with manual controls, image geometry can be manipulated at video rates from a console to achieve a much higher image analysis throughput than is possible for more general purpose processing facilities. In mapping, merging, classifi-cation and registration applications, interactive video rate processing will be important in bringing these and other image analysis techniques out of the laboratory and into an operational environment.

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Citations
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Proceedings ArticleDOI

High-fidelity Image Resampling For Remote Sensing

TL;DR: Investigation of the image resampling requirements of remote sensing has indicated a need for improved convolution kernel design, and areas in which progress has been made include a recognition of the improved phase linearity of longer kernels and the need for similarity of the modulation transfer function (MTF) across all filters.
Proceedings ArticleDOI

Simulation of electronic registration of multispectral remote sensing images to 0.1 pixel accuracy

TL;DR: The study demonstrates that the electronic alignment technique produces multispectral images which are superior to those produced by an imager whose pixel geometry is accurate to 0.1 pixel rms.
Proceedings ArticleDOI

Method of adaptive image coordinate transformation

TL;DR: A new method of image coordinates transformation is suggested, based on the preliminary complexity calculation of transformed images, extraction and transformation only of coordinates highly informative part, that combines algorithmic flexibility of an ordinary computer and high speed of images preprocessing with the help of optical means.
Proceedings ArticleDOI

Management Of Airborne Reconnaissance Images Through Real-Time Processing

TL;DR: The role of image geometry manipulation, or image warping, is reviewed and a "strawman" system is dis-cussed which incorporates the Pipelined Resampling Processor (PRP).
References
More filters
Proceedings ArticleDOI

High-fidelity Image Resampling For Remote Sensing

TL;DR: Investigation of the image resampling requirements of remote sensing has indicated a need for improved convolution kernel design, and areas in which progress has been made include a recognition of the improved phase linearity of longer kernels and the need for similarity of the modulation transfer function (MTF) across all filters.
Proceedings ArticleDOI

Simulation of electronic registration of multispectral remote sensing images to 0.1 pixel accuracy

TL;DR: The study demonstrates that the electronic alignment technique produces multispectral images which are superior to those produced by an imager whose pixel geometry is accurate to 0.1 pixel rms.
Journal ArticleDOI

Electronic Image Alignment: Implementation And Applications To Imaging System Design

TL;DR: A new technique has been developed for geometrically rectifying images to subpixel accuracy in real time through high fidelity resampling that permits significant simplification and cost reduction for a remote sensing system by relaxing the optical/mechanical alignment tolerances.
Proceedings ArticleDOI

Method of adaptive image coordinate transformation

TL;DR: A new method of image coordinates transformation is suggested, based on the preliminary complexity calculation of transformed images, extraction and transformation only of coordinates highly informative part, that combines algorithmic flexibility of an ordinary computer and high speed of images preprocessing with the help of optical means.
Proceedings ArticleDOI

Management Of Airborne Reconnaissance Images Through Real-Time Processing

TL;DR: The role of image geometry manipulation, or image warping, is reviewed and a "strawman" system is dis-cussed which incorporates the Pipelined Resampling Processor (PRP).