Multisensor image fusion using influence factor modification and the ANOVA methods

• Published in: IEEE transactions on geoscience and remote sensing Vol. 38; no. 4; pp. 1976 - 1988
• Main Authors: Li Yiyao, Venkatesh, Y.V., Chi Chung Ko
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-07-2000; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Analysis of variance; Applied geophysics; Data mining; Design for experiments; Earth sciences; Earth, ocean, space; Exact sciences and technology; Fuses; Humans; Image fusion; Image quality; Image recognition; Image resolution; Internal geophysics; Pixel; interpretation; new methods; data processing; remote sensing; melting; high resolution; quality; statistics
• ISSN: 0196-2892; 1558-0644
• DOI: 10.1109/36.851779

A new scheme is proposed for fusing multisensor images in which one image is regarded as the main image and the other the complementary; based on the evaluation of certain characteristics in the images. In effect, the scheme is used to fuse an image pair in which one image is superior to the other for interpretation in terms of higher resolution, better image quality, or having more recognizable features. Feature information is based on local statistical characteristics, which are extracted using the analysis of variance (ANOVA) method, in the framework of experimental designs. In effect, feature information from one image is used to influence the corresponding pixel values of the other image. The fused image leads to a better human and/or machine interpretation of the area of interest in the images.