Parallel image matching for aircraft navigation

Author

Kaikun Dong ; Chunqi Sun ; Lejun Chi ; Zhongyuan Qin

Author_Institution

Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol. at Weihai, Weihai, China

Volume

6

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

2611

Lastpage

2613

Abstract

Image matching is an important technique for aircraft navigation. This paper presents a novel parallel image matching algorithm based on local entropy vector (LEV). Spatial information is introduced into the definition of image entropy and the proposed algorithm confirms the robustness of LEV to irradiation distortion, geometric distortion, local noise interference and partial occlusion. An equivalent transform of the image entropy definition is also employed to make it suitable for parallel processing. The matching results of the proposed algorithm are validated by experiments on a variety of images in natural environment.

Keywords

aircraft navigation; hidden feature removal; image matching; aircraft navigation; geometric distortion; image entropy; irradiation distortion; local entropy vector; local noise interference; parallel image matching; partial occlusion; spatial information; Aircraft navigation; Entropy; Image matching; Image segmentation; Signal processing algorithms; SIMD; aircraft navigation; image matching; local entropy vector;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5648156

Filename

5648156