Projective pan sharpening algorithm

John E. Lindgren; Steven Kilston

doi:10.1117/12.256087

4 November 1996 Projective pan sharpening algorithm

John E. Lindgren, Steven Kilston

Proceedings Volume 2818, Multispectral Imaging for Terrestrial Applications; (1996) https://doi.org/10.1117/12.256087
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

Citation Download Citation

John E. Lindgren and Steven Kilston "Projective pan sharpening algorithm", Proc. SPIE 2818, Multispectral Imaging for Terrestrial Applications, (4 November 1996); https://doi.org/10.1117/12.256087

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