Paper
29 July 1994 Radiometrically correct sharpening of multispectral images using a panchromatic image
Tim J. Patterson, Michael E. Bullock
Author Affiliations +
Abstract
With the advent of a panchromatic band on the enhanced thematic mapper (ETM) sensor, the interest in sharpening techniques for multispectral imagery has substantially increased. Previous work has been performed to increase the spatial resolution of multispectral imagery by combining it with a higher spatial resolution broad band panchromatic source. While these techniques resulted in a sharper multispectral image, they limited the extent to which the spectral information could be used. In this paper, we describe a technique that employs pseudoinverse estimation to generate a sharpened multispectral image. This technique provides the minimum mean squared error estimate of the sharpened spectral signatures given the information available from the panchromatic and multispectral sensors. The resulting radiometrically correct sharpened image is useful for various types of spectral analysis such as spectral classification, demixing, and detection. We then present the results of a quantitative evaluation of the processing technique in various operating modes as well as the results of a qualitative evaluation from analysts using MSI for mapping purposes.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tim J. Patterson and Michael E. Bullock "Radiometrically correct sharpening of multispectral images using a panchromatic image", Proc. SPIE 2234, Automatic Object Recognition IV, (29 July 1994); https://doi.org/10.1117/12.181023
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Cited by 7 scholarly publications.
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KEYWORDS
Multispectral imaging

Sensors

Spatial resolution

Error analysis

Image classification

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