image moment
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2020 ◽  
Author(s):  
Manoj K. Singh ◽  
Sanoj Kumar ◽  
Musrrat Ali ◽  
Deepika Saini

2020 ◽  
Vol 20 (12) ◽  
pp. 6560-6572 ◽  
Author(s):  
Gang Yao ◽  
Ryan Saltus ◽  
Ashwin Dani

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 52731-52742 ◽  
Author(s):  
Yeping Peng ◽  
Songbo Ruan ◽  
Guangzhong Cao ◽  
Sudan Huang ◽  
Ngaiming Kwok ◽  
...  

Author(s):  
Dongjie Wu ◽  
Xungao Zhong ◽  
Xiaoli Zhang ◽  
Xiafu Peng ◽  
Chaosheng Zou

2018 ◽  
Vol 122 (1253) ◽  
pp. 1083-1101
Author(s):  
H. Tokutake ◽  
M. Kido

ABSTRACTIn Japan, the working group for the Mars Exploration Aircraft continues to research and develop a Mars aircraft aiming to a future survey mission. To ensure the success of the flight mission, a self-localisation system with low-computational complexity is necessary. In the present research, a new self-localisation method is proposed using multispectral images. The algorithm is based on the simple mapping of image moment invariants and gradients calculated from several images at different wavelengths. The numerical simulations revealed the sufficient robustness of the proposed method to image noise. The estimation accuracy can be improved by increasing the number of the spectral images.


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