Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

Research And Implementation Of Geometric Correction Algorithm For Spatial Target Image Recognition

Authors
Hongyan Chen, Junwei Wan
Corresponding Author
Hongyan Chen
Available Online June 2017.
DOI
10.2991/icmia-17.2017.54How to use a DOI?
Keywords
Space object recognition; image processing; geometric correction; Remote Sensing and Telemetry
Abstract

In the process of space target surveillance system to obtain the target image in space, due to the impact of imaging equipment is limited and some other random factors, Therefore, the final image is blurred and distorted, so it is difficult to estimate and track the target in the later stage. In this paper, based on the geometric correction technique of space target images, Put forward through the study of spatial transformation, gray interpolation and unknown variation algorithm to construct a mapping model,In the image preprocessing part, the distorted image is corrected, To obtain more accurate target centroid coordinates and clearer target images, the high accuracy of the space target surveillance system is achieved.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
10.2991/icmia-17.2017.54
ISSN
1951-6851
DOI
10.2991/icmia-17.2017.54How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hongyan Chen
AU  - Junwei Wan
PY  - 2017/06
DA  - 2017/06
TI  - Research And Implementation Of Geometric Correction Algorithm For Spatial Target Image Recognition
BT  - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 295
EP  - 300
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.54
DO  - 10.2991/icmia-17.2017.54
ID  - Chen2017/06
ER  -