Jingjing Sun, Fei Zhao. Application of Non-Negative Matrix Factorization in Space Object Recognition[J]. Laser & Optoelectronics Progress, 2019, 56(10): 101007
- Laser & Optoelectronics Progress
- Vol. 56, Issue 10, 101007 (2019)
Fig. 1. Principle diagram of NMF
Fig. 2. Scanning mode
Fig. 3. Geometric model of laboratory
Fig. 4. Images of ten kinds of space objects
Fig. 5. Flow chart of experiment. (a) Feature extraction; (b) space object image recognition
Fig. 6. Recognition rate of each NMF algorithm under number of samples is 100
Fig. 7. Training time of each NMF algorithm under number of samples is 100
Fig. 8. Recognition rate of each NMF algorithm under different numbers of samples
Fig. 9. Training time of each NMF algorithm under different numbers of samples
|
Table 1. Testing time of each NMF algorithm under number of samples is 100
|
Table 2. Testing time of each algorithm under optimal k (number of samples is 100)
|
Table 3. Comparison between NMF and existing methods
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20