Fusion of Multisensor Data: Review and Comparative Analysis

Author

Kumar, Uttam ; Mukhopadhyay, Chiranjit ; Ramachandra, T.V.

Author_Institution

Dept. of Manage. Studies, Indian Inst. of Sci., Bangalore, India

Volume

2

fYear

2009

fDate

19-21 May 2009

Firstpage

418

Lastpage

422

Abstract

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 1 m spatial resolution and Multispectral 4 bands at 4 m spatial resolution) reveal that HPF and HPM methods synthesise the images closest to those the corresponding multi-sensors would observe at the high resolution level.

Keywords

Fourier transforms; high-pass filters; image fusion; image resolution; modulation; principal component analysis; spectral analysis; HPF method; HPM method; fourier transform; high pass filter; high pass modulation; image fusion technique; intensity-hue-saturation; multiresolution data; multisensor data fusion; multitemporal data; principal component analysis; spectral analysis; temporal resolution; Band pass filters; Equations; Image analysis; Image fusion; Image resolution; Intelligent systems; Pixel; Samarium; Spatial resolution; Technology management; image fusion; multiresolution; multisensor;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3571-5

Type

conf

DOI

10.1109/GCIS.2009.457

Filename

5209390