Deep space moving target detection based on technology of image matching

Author

Xiu Ha-ning ; Zhu Sheng-ying ; Cui Ping-yuan

Author_Institution

Sch. of Aerosp. Eng., Beijing Inst. of Technol., Beijing, China

fYear

2014

fDate

May 31 2014-June 2 2014

Firstpage

3294

Lastpage

3299

Abstract

A detection method of moving targets in deep space is researched based on technology of image registration. According to the characteristics of deep space image information, a SUSAN feature point extraction algorithm is modified to inhibit isolated noises which are similar to sidereal feature points, and it effectively eliminates isolated noises. The geometric constraint among stars in the star image settles a feature points matching algorithm. Finally, matching of two images by affine transformation and differential option locates the moving target. Trials show that this method realizes moving targets detect and search in deep space where detector is under the condition with various disturbances.

Keywords

astronomical image processing; feature extraction; image denoising; image matching; image registration; SUSAN feature point extraction algorithm; affine transformation; deep space image information; deep space moving target detection; differential option; feature points matching algorithm; geometric constraint; image matching; image registration; isolated noise elimination; Cameras; Estimation; Feature extraction; Gray-scale; Image registration; Noise; Object detection; Differential option; Feature point extraction; Feature points matching; Image matching; SUSAN algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (2014 CCDC), The 26th Chinese

Conference_Location

Changsha

Print_ISBN

978-1-4799-3707-3

Type

conf

DOI

10.1109/CCDC.2014.6852743

Filename

6852743