• DocumentCode
    510237
  • Title

    Space Debris Detection Algorithm Based on Mathematical Morphology

  • Author

    Li, Kezhao ; Zhang, Qin ; Guo, Zengzhang ; Yuan, Jiangping ; Zhao, Chaoying ; Xu, Keke

  • Author_Institution
    Sch. of Survery & Land Inf. Eng., Henan Polytech. Univ., Jiaozuo, China
  • Volume
    3
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    178
  • Lastpage
    180
  • Abstract
    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 real-time 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.
  • Keywords
    aircraft; mathematical morphology; object detection; space debris; aircraft; mathematical morphology; space debris detection; space exploration; target detection; Aircraft; Detection algorithms; Mathematics; Morphology; Object detection; Orbital calculations; Parallel processing; Space debris; Space exploration; Space technology; Detection; Mathematical Morphology (MM); Space Debris; Structuring Element (SE);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.350
  • Filename
    5376591