DATA FUSION OF PANCHROMATIC AND MULTISPECTRAL IMAGES BASED ON OPTIMIZATION USING LAGRANGE MULTIPLIER

The remote sensing satellites provide complementary images of different resolutions which need to be integrated using the techniques of image fusion. In this paper, image fusion using the IKONOS satellite data is discussed. Unlike other models which are based on sensor model, our approach is data ce...

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Bibliographic Details
Published inISPRS annals of the photogrammetry, remote sensing and spatial information sciences Vol. IV-5; pp. 397 - 404
Main Authors Devi, M. B., Devanathan, R.
Format Journal Article
LanguageEnglish
Published Gottingen Copernicus GmbH 15.11.2018
Copernicus Publications
Subjects
Algorithms
Computer simulation
Computer vision
Data integration
Goodness of fit
Image processing
Lagrange multiplier
Multisensor fusion
Optimization
Reflectance
Remote sensing
Satellite imagery
Satellites
Statistical tests
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Summary:The remote sensing satellites provide complementary images of different resolutions which need to be integrated using the techniques of image fusion. In this paper, image fusion using the IKONOS satellite data is discussed. Unlike other models which are based on sensor model, our approach is data centric including the effects of the sensor as well as the reflectance characteristics of the imaged object. A linear relationship is built between the panchromatic channel and the multispectral channel data. We then formulate a minimisation function in terms of Lagrange multiplier to optimally maximise the spectral consistency and minimise the error in variance. The variances of the downsampled multispectral channels are observed and compared with the original multispectral data. A chi-square goodness of fit test is performed to evaluate the data computed based on our algorithm. Simulation results are presented using the IKONOS 1m resolution panchromatic and 4 m resolution multispectral data.
ISSN:2194-9050
2194-9042
2194-9050
DOI:10.5194/isprs-annals-IV-5-397-2018