Moon landform images fusion and Mosaic based on SIFT method

Author

Liqian, Dou ; Yuehui, Ji

Author_Institution

Coll. of Electr. & Autom. Eng., Tianjin Univ., Tianjin, China

fYear

2010

fDate

3-5 Dec. 2010

Firstpage

29

Lastpage

32

Abstract

Image Fusion and Mosaic is one of important technologies for image processing. Its objective is to mix many of images with overlapping each other into one image. In this paper, Image Fusion and Mosaic is applied to handle many moon landform image from Chang´E-1 satallite data. An moon landform image fusion and mosaic method base SIFT is proposed. Firstly, moon image information from Chang´E-1 Satelliate data is introduced. And then, features of SIFT is analysised, which contains generation of scale-space, space extreme detection and key point location and processing, images matches and fusion. Finally, four moon image from CE-1 data is mosaic using the proposed mothed, and Simulation results show the effectiveness of the proposed image fusion and mosaic method.

Keywords

astronomical image processing; astronomical techniques; feature extraction; image fusion; image matching; image segmentation; lunar surface; Chang´E-1 satallite data; Moon landform images fusion; SIFT method; imag mosaicing; image matching; image processing; key point location; scale invariant feature transform; space extreme detection; Charge coupled devices; Computer vision; Feature extraction; Image fusion; Moon; Orbits; Space vehicles; Chang´E-1 satellite CCD data; Image Mosaic; Landform image; SIFT;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Application (ICCIA), 2010 International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-8597-0

Type

conf

DOI

10.1109/ICCIA.2010.6141528

Filename

6141528