Spatial frequency models for multispectral image sharpening

Robert A. Schowengerdt; Daniel P. Filiberti

doi:10.1117/12.179788

8 July 1994 Spatial frequency models for multispectral image sharpening

Robert A. Schowengerdt, Daniel P. Filiberti

Proceedings Volume 2231, Algorithms for Multispectral and Hyperspectral Imagery; (1994) https://doi.org/10.1117/12.179788
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

Many techniques have been developed and demonstrated to combine low spatial resolution multispectral imagery with relatively high resolution panchromatic imagery to accomplish multispectral 'sharpening'. We investigate here a particular approach, high frequency modulation, and show that care must be exercised in the design of spatial weighting functions in order to optimize the resulting fused image. Mathematical relationships are derived showing that, under reasonable assumptions, the modulation equation leads to a specific and intuitively satisfying form of the weighting function. Examples of sharpened multispectral images are presented demonstrating the predicted improvement when attention is given to the spatial weighting function.

Citation Download Citation

Robert A. Schowengerdt and Daniel P. Filiberti "Spatial frequency models for multispectral image sharpening", Proc. SPIE 2231, Algorithms for Multispectral and Hyperspectral Imagery, (8 July 1994); https://doi.org/10.1117/12.179788

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