ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprsarchives-XL-7-W1-33-2013 IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES Han Z. 1 Tang X. 2 Gao X. 2 Hu F. 2 School of Mapping And Geographic Information Systems, Lanzhou Jiao Tong University, China Satellite Surveying and Mapping Application Centre, NASG, China 12 07 2013 XL-7/W1 33 36 Copyright: © 2013 Z. Han et al. 2013 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://isprs-archives.copernicus.org/articles/XL-7-W1/33/2013/isprs-archives-XL-7-W1-33-2013.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-7-W1/33/2013/isprs-archives-XL-7-W1-33-2013.pdf

It is of great value to fuse a high-resolution panchromatic image and low-resolution multi-spectral images for object recognition. In the paper, tow frames of remotely sensed imagery, including ZY03 and SPOT05, are selected as the source data. Four fusion methods, including Brovey, PCA, Pansharp, and SFIM, are used to fuse the images of multispectral bands and panchromatic band. Three quantitative indicators were calculated and analyzed, that is, gradient, correlation coefficient and deviation. According to comprehensive evaluation and comparison, the best effect is SFIM transformation, combined with fusion image through four transformation methods.