Fusion of FY-2C Visible Image and Infrared Image

Author

Liu, Kai ; Luo, Limin ; Kou, Zheng

Author_Institution

Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China

Volume

4

fYear

2010

fDate

16-18 April 2010

Abstract

In this paper we make a study on the fusion of FY-2C visible image and infrared image through application of a typical set of image algorithms. We employ the quality measure Q to evaluate the performance of each algorithm. The results indicate that the qualities of fused images are actually improved relative to each source image after the fusion of visible images and the near-infrared (3.5-4.0μm band) images, The fused image contains more abundant information about the cloud. But to the fusion of visible images and far-infrared images, the qualities of fused images are improved only relative to the visible images, not be improved relative to far-infrared images.

Keywords

image fusion; infrared imaging; FY-2C visible image; fused images; image algorithms; infrared image; quality measure; Clouds; Computer science; Discrete transforms; Discrete wavelet transforms; Image fusion; Infrared imaging; Meteorology; Pixel; Principal component analysis; Programmable logic arrays; FY-2C; far-infrared image; image fusion; near-infrared image;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6347-3

Type

conf

DOI

10.1109/ICCET.2010.5485317

Filename

5485317