The experimental results show that the proposed method is more efficient in the direction estimation than that traditional SIFT for the full moon image ...

Apr 10, 2015 · A bacterial foraging optimisation–based Scale Invariant Feature Transform (SIFT) algorithm is proposed to recognise the Crisium Sea in moon ...

A bacterial foraging optimisation-based Scale Invariant Feature Transform SIFT algorithm is proposed to recognise the Crisium Sea in moon image quickly for ...

The experimental results show that the proposed method is more efficient in the direction estimation than that traditional SIFT for the full moon image ...

The experimental results show that the proposed method is more efficient in the direction estimation than that traditional SIFT for the full moon image ...

Liyong Ma , Yong Zhang: Bacterial foraging-based SIFT for full moon image direction estimation. Int. J. Wirel. Mob. Comput. 8(2): 200-205 (2015).

Bacterial foraging-based SIFT for full moon image direction estimation. L. Ma, and Y. Zhang. IJWMC, 8 (2): 200-205 (2015 ).

In this paper, we developed a bacterial foraging optimisation based symmetry axis estimation method from observed moon image for moon-sun attitude sensor. After ...

In this paper, we developed a bacterial foraging optimisation based symmetry axis estimation method from observed moon image for moon-sun attitude sensor.

May 14, 2024 · https://dblp.org/rec/journals/ijwmc/MaZ15. Liyong Ma , Yong Zhang: Bacterial foraging-based SIFT for full moon image direction estimation.