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Sharpening advanced land imager multispectral data using a sensor model

By:
Edited by:
Rahman Z.Schowengerdt R.A.Reichenbach S.E.
DOI: 10.1117/12.604517

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Abstract

The Advanced Land Imager (ALI) instrument on NASA's Earth Observing One (EO-1) satellite provides for nine spectral bands at 30m ground sample distance (GSD) and a 10m GSD panchromatic band. This report describes an image sharpening technique where the higher spatial resolution information of the panchromatic band is used to increase the spatial resolution of ALI multispectral (MS) data. To preserve the spectral characteristics, this technique combines reported deconvolution deblurring methods for the MS data with highpass filter-based fusion methods for the Pan data. The deblurring process uses the point spread function (PSF) model of the ALI sensor. Information includes calculation of the PSF from pre-launch calibration data. Performance was evaluated using simulated ALI MS data generated by degrading the spatial resolution of high resolution IKONOS satellite MS data. A quantitative measure of performance was the error between sharpened MS data and high resolution reference. This report also compares performance with that of a reported method that includes PSF information. Preliminary results indicate improved sharpening with the method reported here.

Additional Publication Details

Publication type:
Conference Paper
Publication Subtype:
Conference Paper
Title:
Sharpening advanced land imager multispectral data using a sensor model
DOI:
10.1117/12.604517
Volume
5817
Year Published:
2005
Language:
English
First page:
336
Last page:
346
Number of Pages:
11
Conference Title:
Visual Information Processing XIV
Conference Location:
Orlando, FL
Conference Date:
29 March 2005 through 30 March 2005