The intensity image mosaic of LADER based on SIFT

Author

Dejian Meng ; Jianfeng Sun ; Jian Gao

Author_Institution

Nat. Key Lab. of Sci. & Technol. on Tunable Laser, Inst. of Opto-Electron. of Harbin Inst. of Technol., Harbin, China

fYear

2013

fDate

7-9 Sept. 2013

Firstpage

112

Lastpage

116

Abstract

The LADAR(Laser Detection and Ranging) occupies an important position in the laser guidance technology, completing mosaic of LADAR image and achieving LADAR image of big scene is important significance for the laser guidance technology. SIFT algorithm can extract image feature points effectively, and realize feature matching through these feature points precisely, Then using the RANSAC method can obtain homography matrix between two images. Through the homography matrix effect, we can get the image of registration, then we make image to be fusion. The last we obtain the image to be mosaicked. In the experiment, we use LADAR intensity image as input image, and verify good mosaic result of SIFT algorithm through MATLAB software.

Keywords

feature extraction; geophysical image processing; image matching; image segmentation; iterative methods; matrix algebra; optical radar; radar imaging; remote sensing by radar; transforms; LADAR intensity image; MATLAB software; RANSAC method; SIFT algorithm; feature matching; homography matrix effect; image feature point extraction; image fusion; intensity image mosaic; laser detection-and-ranging; laser guidance technology; scale invariant feature transform; Equations; Feature extraction; Histograms; Image fusion; Image registration; Mathematical model; Noise; LADAR intensity image; SIFT; image mosaic;

fLanguage

English

Publisher

ieee

Conference_Titel

Optoelectronics and Microelectronics (ICOM), 2013 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4799-1214-8

Type

conf

DOI

10.1109/ICoOM.2013.6626504

Filename

6626504