@inproceedings{51658529a13f4d588939c4c7d88efa26,
title = "Deep space moving target detection based on technology of image matching",
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 = "Differential option, Feature point extraction, Feature points matching, Image matching, SUSAN algorithm",
author = "Xiu, {Ha Ning} and Zhu, {Sheng Ying} and Cui, {Ping Yuan}",
year = "2014",
doi = "10.1109/CCDC.2014.6852743",
language = "English",
isbn = "9781479937066",
series = "26th Chinese Control and Decision Conference, CCDC 2014",
publisher = "IEEE Computer Society",
pages = "3294--3299",
booktitle = "26th Chinese Control and Decision Conference, CCDC 2014",
address = "United States",
note = "26th Chinese Control and Decision Conference, CCDC 2014 ; Conference date: 31-05-2014 Through 02-06-2014",
}