Panchromatic band sharpening of multispectral image data to improve machine exploitation accuracy

Sylvia S. Shen; John E. Lindgren; Paul Max Payton

doi:10.1117/12.179220

30 June 1994 Panchromatic band sharpening of multispectral image data to improve machine exploitation accuracy

Sylvia S. Shen, John E. Lindgren, Paul Max Payton

Proceedings Volume 2304, Neural and Stochastic Methods in Image and Signal Processing III; (1994) https://doi.org/10.1117/12.179220
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Due to bandwidth limitations, many remote sensing systems have strengths in either spatial or spectral resolution, an inevitable tradeoff. It is therefore important to have capabilities to merge data and take advantage of the strengths of each. In this paper, we describe a method for enhancing the spatial resolution of multispectral images using a higher resolution panchromatic image. Our method uses the local correlation between low resolution multispectral and corresponding panchromatic radiances to generate sharpened products. The resultant sharpened multispectral images not only have improved visual interpretability but also preserve radiometric fidelity for accurate machine exploitation. This is substantiated by evaluation of the quality of our band sharpening products in terms of machine exploitation accuracy. Results of a sensitivity analysis of the sharpening algorithm to noise are also presented.

Citation Download Citation

Sylvia S. Shen, John E. Lindgren, and Paul Max Payton "Panchromatic band sharpening of multispectral image data to improve machine exploitation accuracy", Proc. SPIE 2304, Neural and Stochastic Methods in Image and Signal Processing III, (30 June 1994); https://doi.org/10.1117/12.179220

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