Kumar, Uttam and Mukhopadhyay, Chiranjit and Ramachandra, TV (2009) Fusion of Multisensor Data:Review and Comparative Analysis. In: 1st WRI Global Congress on Intelligent Systems (GCIS 2009), MAY 19-21, 2009, Xiamen, pp. 418-422.
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Image fusion is a formal framework which is expressed as means and tools for the alliance of multisensor, multitemporal, and multiresolution data. Multisource data vary in spectral, spatial and temporal resolutions necessitating advanced analytical or numerical techniques for enhanced interpretation capabilities. This paper reviews seven pixel based image fusion techniques - intensity-hue-saturation, brovey, high pass filter (HPF), high pass modulation (HPM), principal component analysis, fourier transform and correspondence analysis.Validation of these techniques on IKONOS data (Panchromatic band at I m spatial resolution and Multispectral 4 bands at 4 in spatial resolution) reveal that HPF and HPM methods synthesises the images closest to those the corresponding multisensors would observe at the high resolution level.
|Item Type:||Conference Paper|
|Additional Information:||Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Department/Centre:||Division of Information Sciences > Management Studies|
|Date Deposited:||16 Jun 2010 09:23|
|Last Modified:||19 Sep 2010 05:59|
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