Title :
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
fDate :
May 31 2014-June 2 2014
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;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852743
