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Proceedings Paper

Using electromagnetic parameters of targets and R language to enhance the accurate and rapid judgment
Author(s): Pai-Song Chiang; Chiang-Ju Chien
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Paper Abstract

Radar is the main method all over the world to monitor the conditions on the sea, but there are many disadvantages for radar to maintain the mission of surveillance. In this paper, an innovative idea from the electromagnetic parameters of radar is presented, and the programs are executed by R language. By this idea, the method of big data to enhance the accurate judgment of the situation of unusual boats on the sea is used. There are large numbers of data from electromagnetic parameters of radar which are unique and like as fingerprints of human. A database of electromagnetic parameters is created that every parameter stands for the vehicle for boats or airplanes by this feature. However, it is more ineffective for surveillance with traditional method of radar, so that the programs are compiled from these big data to make the procedure easier. The simulation values which the 8-49 boats are put into programs test continuously. After computing, how the data large is, the accurate information is always presented rapidly, even though the three simulating conditions, the correct targets are extracted accurately with different program. At the last, the crime or accident records were listed after clustered which would make predictions of condition for the administrator. This study could improve the mission of patrol and security on the sea absolutely for nations, it could also save human resources cost for monitoring.

Paper Details

Date Published: 27 November 2019
PDF: 6 pages
Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 1132131 (27 November 2019); doi: 10.1117/12.2548045
Show Author Affiliations
Pai-Song Chiang, Huafan Univ. (Taiwan)
Chiang-Ju Chien, Huafan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 11321:
2019 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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