Study on data fusion methods based on multi-spectral and panchromatic imageries of Quick-Bird

Bo Cao; Wenbo Li; Dan Xiao

doi:10.1117/12.751491

14 November 2007 Study on data fusion methods based on multi-spectral and panchromatic imageries of Quick-Bird

Bo Cao, Wenbo Li, Dan Xiao

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67902X (2007) https://doi.org/10.1117/12.751491
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Data fusion techniques of pixel level are widely used to integrate a lower spatial resolution multi-spectral image with a higher spatial resolution panchromatic image. Four data fusion techniques, smoothing filter-based intensity modulation (SFIM), high pass-filter transform (HPT), wavelet transform (WT) and multiplication transform (MT), are adapted to fuse low spatial resolution multi-spectral data and panchromatic image of Quick-Bird sensor. The visual evaluation and quantitative analysis results show that HPT and MT models provide relatively higher spatial frequency information gaining from panchromatic channel while SFIM provides the best spectral information preservation between merged production and original multi-spectral image.

Citation Download Citation

Bo Cao, Wenbo Li, and Dan Xiao "Study on data fusion methods based on multi-spectral and panchromatic imageries of Quick-Bird", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902X (14 November 2007); https://doi.org/10.1117/12.751491

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