The star sensor layout based on geometric position analysis

2012 ◽  
Author(s):  
Lin Zhao ◽  
Zhonghua Su ◽  
Yong Hao
Keyword(s):  
Star Sensor ◽  
Position Analysis

scholarly journals Contact position analysis of deep brain stimulation electrodes on post-operative CT images

2009 ◽  
Vol 151 (7) ◽  
pp. 823-829 ◽  
Author(s):  
Simone Hemm ◽  
Jérôme Coste ◽  
Jean Gabrillargues ◽  
Lemlih Ouchchane ◽  
Laurent Sarry ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Ct Images ◽  
Position Analysis ◽  
Contact Position ◽  
Deep Brain

Attitude-correlated frames approach for a star sensor to improve attitude accuracy under highly dynamic conditions

2015 ◽  
Vol 54 (25) ◽  
pp. 7559 ◽  
Author(s):  
Liheng Ma ◽  
Dejun Zhan ◽  
Guangwen Jiang ◽  
Sihua Fu ◽  
Hui Jia ◽  
...  
Keyword(s):  
Star Sensor ◽  
Dynamic Conditions ◽  
Improve Attitude

Optimal fusion of multi-focus image: Integrating WNMF and focal point analysis

2021 ◽  
pp. 2150156
Author(s):  
Shi-Hong Zhang ◽  
Qi-Yuan Zhan ◽  
Wen-Yu Li ◽  
Qiong-Ze Wang
Keyword(s):  
Image Fusion ◽  
Point Spread Function ◽  
Focal Point ◽  
Nonnegative Matrix ◽  
Fusion Algorithm ◽  
Point Position ◽  
Position Analysis ◽  
Point Spread ◽  
Spread Function ◽  
Focus Image

Image fusion can be used to improve the image utilization, spatial resolution and spectral resolution, which has been widely applied on medicine, remote sensing, computer vision, weather forecast and military target recognition. The goal of image fusion is to reduce the uncertainty and redundancy of the output and increase the reliability of the image on the basis of the maximum combination of relevant information. In this paper, a multi-focus image fusion algorithm based on WNMF and Focal point position analysis is proposed to improve the image fusion method based on nonnegative matrix factorization. In the imaging process, the Gaussian function is used to approximate the point spread function in the optical system. Then calculate the difference between the original image and the approximate point spread function and get the weighted matrix [Formula: see text]. Finally, we apply the weighted nonnegative matrix algorithm to image fusion, and the new fusion image with clear parts is obtained. Experimental results show that the multi-focus image fusion algorithm based on WNMF and Focal point position analysis (MFWF) is better.

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