TY - GEN
T1 - Space debris detection algorithm based on mathematical morphology
AU - Li, Kezhao
AU - Zhang, Qin
AU - Guo, Zengzhang
AU - Yuan, Jiangping
AU - Zhao, Chaoying
AU - Xu, Keke
PY - 2009
Y1 - 2009
N2 - With the space exploring, the number of the aircrafts in orbit has been increasing, and how to reduce the growth rate of space debris or detect or remove them is urgent. Therefore, the space debris detection algorithm research has become one of key technologies in space debris research. For the traditional algorithms of the target detection are limited in calculating, processing, operating etc. So these algorithms can not content the space requirement, such as dynamic and realtime requirement. On the basis of the research on mathematic morphology and its applications, we bring forward a space debris detection algorithm based on mathematic morphology. This algorithm has the advantages, such as non-linear, parallel processing, real-time, feasible operating etc. And the experiment shows that this algorithm is an effective method to detect space debris.
AB - With the space exploring, the number of the aircrafts in orbit has been increasing, and how to reduce the growth rate of space debris or detect or remove them is urgent. Therefore, the space debris detection algorithm research has become one of key technologies in space debris research. For the traditional algorithms of the target detection are limited in calculating, processing, operating etc. So these algorithms can not content the space requirement, such as dynamic and realtime requirement. On the basis of the research on mathematic morphology and its applications, we bring forward a space debris detection algorithm based on mathematic morphology. This algorithm has the advantages, such as non-linear, parallel processing, real-time, feasible operating etc. And the experiment shows that this algorithm is an effective method to detect space debris.
KW - Detection
KW - Mathematical Morphology (MM)
KW - Space debris
KW - Structuring Element (SE)
UR - https://www.scopus.com/pages/publications/77949278330
U2 - 10.1109/AICI.2009.350
DO - 10.1109/AICI.2009.350
M3 - 会议稿件
AN - SCOPUS:77949278330
SN - 9780769538167
T3 - 2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
SP - 178
EP - 180
BT - 2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
T2 - 2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
Y2 - 7 November 2009 through 8 November 2009
ER -