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Proceedings Paper

Interpolation of remote sensing imagery
Author(s): Kristo Miettinen
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Paper Abstract

Interpolation of remote sensing imagery is a ubiquitous task, required for myriad purposes such as registration of multiple frames, correction of geometric distortions, and mitigation of platform vibration distortions in imagery. Interpolation is also a classically systemic task, in that interpolator performance in pixel placement, anti-aliasing, and blur, affects the design of other system components, notably reconstruction filters. Interpolator design in a system context is the problem which first motivated development of the latent and apparent image quality metrics previously presented at Visual Information Processing XI and XIII. This paper presents a suite of common interpolator design philosophies with length-4 examples of the designs analyzed in terms of signal processing and image quality metrics. Conclusions are drawn both with respect to the designs and with respect to the metrics.

Paper Details

Date Published: 25 May 2005
PDF: 10 pages
Proc. SPIE 5817, Visual Information Processing XIV, (25 May 2005); doi: 10.1117/12.594370
Show Author Affiliations
Kristo Miettinen, ITT Space Systems Division (United States)

Published in SPIE Proceedings Vol. 5817:
Visual Information Processing XIV
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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