Research on image processing and intelligent recognition of space debris

2019 ◽  
Author(s):  
Linghua Guo ◽  
Haopeng o. Zhang ◽  
Hua Zhai ◽  
Cheng Gong ◽  
Bin Song ◽  
...  
Keyword(s):  
Image Processing ◽  
Space Debris ◽  
Intelligent Recognition

Image processing improvement for optical observations of space debris with the TAROT telescopes

2016 ◽  
Author(s):  
C. Thiebaut ◽  
S. Theron ◽  
P. Richard ◽  
G. Blanchet ◽  
A. Klotz ◽  
...  
Keyword(s):  
Image Processing ◽  
Space Debris ◽  
Optical Observations

Speeding up of image processing system for capturing space debris

2018 ◽  
Vol 2018.56 (0) ◽  
pp. 1208
Author(s):  
Yusaku ODA ◽  
Shin-Ichiro NISHIDA ◽  
Shintaro NAKATANI
Keyword(s):  
Image Processing ◽  
Space Debris ◽  
Processing System ◽  
Image Processing System

Study of Image Processing Methods for Space Debris Capture

2021 ◽  
Author(s):  
Taichi Kobayashi ◽  
Shin-Ichiro Nishida ◽  
Shunsuke Nakamura ◽  
Shintaro Nakatani
Keyword(s):  
Image Processing ◽  
Space Debris ◽  
Processing Methods

Masking and Tracklet Building for Space Debris and NEO Observations

2020 ◽  
pp. 38-56
Author(s):  
Stanislav Krajčovič ◽  
Roman Ďurikovič ◽  
Jiří Šilha
Keyword(s):  
Image Processing ◽  
Space Debris ◽  
Real Space ◽  
Design And Development ◽  
Processing Elements ◽  
Processing Pipeline

The partial goal of the transformation of a newly acquired telescope into a professional observation device was a design and development of an image processing pipeline. The pipeline can process an acquired raw image of space debris into object observations in time (tracklets), and further correlate and identify them with selected catalogues. The system contains nine image processing elements (IPEs) in total that are further described in this chapter and have already been deployed and tested on real space debris data.

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