Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W1, 33-36, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W1/33/2013/
doi:10.5194/isprsarchives-XL-7-W1-33-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
12 Jul 2013
IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES
Z. Han1, X. Tang2, X. Gao2, and F. Hu2 1School of Mapping And Geographic Information Systems, Lanzhou Jiao Tong University, China
2Satellite Surveying and Mapping Application Centre, NASG, China
Keywords: Image Fusion, Brovey, PCA, Pansharp, SFIM, Accuracy Evaluation Abstract. 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.
Conference paper (PDF, 639 KB)


Citation: Han, Z., Tang, X., Gao, X., and Hu, F.: IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W1, 33-36, doi:10.5194/isprsarchives-XL-7-W1-33-2013, 2013.

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