Study on Ballistic Missile Infrared Hyperspectral Endmember Extraction Algorithm Based on Non-negative Matrix Factorization--Feasibility Analysis
Shihua Liu, Jiangtao Xiang, Wei Qi
Available Online June 2018.
- 10.2991/eame-18.2018.63How to use a DOI?
- endmember extraction; non-negative matrix factorizatio; ballistic missile; infrared hyperspectral
According to the ballistic missile infrared hyperspectral endmember extraction problem, a hyperspectral endmember extraction algorithm based on the non-negative matrix factorization is studied. This algorithm is solved based on the alternating least square. The signal separation and extraction ability of this algorithm is good. In the simulation, the algorithm feasibility and the effect that the hybrid spectral number to the algorithm performance are mainly researched. The simulation show that the algorithm has good performance in the endmember extraction.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Shihua Liu AU - Jiangtao Xiang AU - Wei Qi PY - 2018/06 DA - 2018/06 TI - Study on Ballistic Missile Infrared Hyperspectral Endmember Extraction Algorithm Based on Non-negative Matrix Factorization--Feasibility Analysis BT - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018) PB - Atlantis Press SP - 300 EP - 303 SN - 2352-5401 UR - https://doi.org/10.2991/eame-18.2018.63 DO - 10.2991/eame-18.2018.63 ID - Liu2018/06 ER -