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.

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902X (14 November 2007); doi: 10.1117/12.751491

Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications