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Proceedings Paper

Projective pan sharpening algorithm
Author(s): John E. Lindgren; Steven Kilston
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Paper Abstract

The main idea of pan sharpening is to combine registered high spatial resolution panchromatic (pan) and lower spatial resolution multispectral imagery to synthesize higher resolution multispectral imagery. The degree of misregistration between bands and the correlation of intensity values are key factors in generating radiometrically accurate and visually crisp output images. There are two components to the projective pan sharpening algorithm. The first component determines the linear radiometric relationship between the pan and multispectral bands and the second processes pixels to produce the sharpened product. The projective pan sharpening algorithm will be ideally suited for generating multispectral products using Lockheed Martin Commercial Remote Sensing System (CRSS) imagery.

Paper Details

Date Published: 4 November 1996
PDF: 10 pages
Proc. SPIE 2818, Multispectral Imaging for Terrestrial Applications, (4 November 1996); doi: 10.1117/12.256087
Show Author Affiliations
John E. Lindgren, Lockheed Martin Missiles & Space Co., Inc., and Space Imaging, Inc. (United States)
Steven Kilston, Lockheed Martin Missiles & Space Co., Inc., and Space Imaging, Inc. (United States)

Published in SPIE Proceedings Vol. 2818:
Multispectral Imaging for Terrestrial Applications
Brian Huberty; Joan B. Lurie; Jule A. Caylor; Pol Coppin; Pierre C. Robert, Editor(s)

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