Comparative Analysis of Satellite Aerodynamics and Its Application to Space-Object Identification

2016 ◽  
Vol 53 (5) ◽  
pp. 876-886 ◽  
Author(s):  
Marcin D. Pilinski ◽  
Rees L. McNally ◽  
Bruce A. Bowman ◽  
Scott E. Palo ◽  
Jeffrey M. Forbes ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Object Identification ◽  
Space Object

Optimization and Enhancement of Space Object Identification Algorithms and Implementation Using Deep Learning Network

2021 ◽  
Author(s):  
Rachana Raut ◽  
Ritika Deore ◽  
Saloni Bobade ◽  
Shreyanka Suryawanshi ◽  
Sunita Jahirabadkar
Keyword(s):  
Deep Learning ◽  
Object Identification ◽  
Space Object ◽  
Learning Network ◽  
Deep Learning Network

scholarly journals Efficiency of object identification for binary images

2019 ◽  
Vol 43 (2) ◽  
pp. 277-281 ◽  
Author(s):  
R. Magdeev ◽  
Al. Tashlinskii
Keyword(s):  
Comparative Analysis ◽  
Additive Noise ◽  
Orientation Angle ◽  
Object Identification ◽  
Binary Image ◽  
Stochastic Gradient ◽  
Contour Analysis ◽  
Binary Images ◽  
Similarity Model ◽  
Angle Shift

In this paper, a comparative analysis of the correlation-extreme method, the method of contour analysis and the method of stochastic gradient identification in the objects identification for a binary image is carried out. The results are obtained for a situation where possible deformations of an identified object with respect to a pattern can be reduced to a similarity model, that is, the pattern and the object may differ in scale, orientation angle, shift along the base axes, and additive noise. The identification of an object is understood as the recognition of its image with an estimate of the strain parameters relative to the template.

A 94-ghz Radar For Space Object Identification

1969 ◽  
Vol 17 (12) ◽  
pp. 1145-1149 ◽  
Author(s):  
L.A. Hoffman ◽  
K.H. Hurlbut ◽  
D.E. Kind ◽  
H.J. Wintroub
Keyword(s):  
Object Identification ◽  
Space Object
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