Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)

Design of a Target Reflectance Feature Automatic Measurement System

Authors
Fanrong Meng, Ning Wang, Xinhong Wang, Chuncheng Zhou, Chuanrong Li, Lingli Tang
Corresponding Author
Fanrong Meng
Available Online March 2018.
DOI
https://doi.org/10.2991/iceea-18.2018.36How to use a DOI?
Keywords
automatic measurement; GRPS; RadCalNet; reflectance feature
Abstract
A target reflectance feature automatic measurement system used for automatic radiometric calibration of satellite remote sensing payload is described in this paper. The system utilized techniques such as RS485 multi-host structure, wireless communication, and PLC. It can be used in multi-site automatic spectrum observation. The system consists of three components: the spectrum acquisition device, the data collection center and the data publishing server, covering the whole procedure from initial data acquisition to product publish. The system can realize unattended real-time spectrum measurement, obviously decreasing costs of manpower and resources relative to traditional field experiment, and can optimize the uncertainty in radiometric calibration. In addition, the system behaves good extensibility due to its adoption of RS485 multi-host structure.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-497-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceea-18.2018.36How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Fanrong Meng
AU  - Ning Wang
AU  - Xinhong Wang
AU  - Chuncheng Zhou
AU  - Chuanrong Li
AU  - Lingli Tang
PY  - 2018/03
DA  - 2018/03
TI  - Design of a Target Reflectance Feature Automatic Measurement System
BT  - 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceea-18.2018.36
DO  - https://doi.org/10.2991/iceea-18.2018.36
ID  - Meng2018/03
ER  -