Clustering object on surveillance radar display by combining ADBSCAN algorithm and marked boundary object

Tajul Miftahushudur; Arief Nur Rahman; Arie Setiawan; Vicky Zilvan

doi:10.1109/ISITIA.2016.7828670

Clustering object on surveillance radar display by combining ADBSCAN algorithm and marked boundary object

Tajul Miftahushudur
, Arief Nur Rahman
, Arie Setiawan
, Vicky Zilvan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

The received information on radar processor that collected from radar transmitter sometimes are not good enough to be displayed on the radar display. This problem makes user difficult to distinguish noise and object. One technique that can be used to solve this problem is by grouping the objects based its density. One of clustering method used to handle object clustering automatically is DBSCAN algorithm. Unfortunately, this algorithm has a high complexity that will interfere the radar performance. To overcome both of the problems, need a quick method that able to classify the object and the noise. This paper proposed a new clustering algorithm by combining ADBSCAN algorithm using Marked Boundary Object (MBO) as the policy connectivity. The developed algorithm has successfully implemented on PPET-LIPI radar display. This algorithm is shown promising running time performance than the original DBSCAN algorithm (increase of approximation 71%).

Original language	English
Title of host publication	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Subtitle of host publication	Recent Trends in Intelligent Computational Technologies for Sustainable Energy
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	269-274
Number of pages	6
ISBN (Electronic)	9781509017096
DOIs	https://doi.org/10.1109/ISITIA.2016.7828670
State	Published - 20 Jan 2017
Externally published	Yes
Event	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 - Lombok, Indonesia Duration: 28 Jul 2016 → 30 Jul 2016

Publication series

Name	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy

Conference

Conference	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Country/Territory	Indonesia
City	Lombok
Period	28/07/16 → 30/07/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

ADBSCAN
Cluster
Marked boundary object
Radar display

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Signal Processing
Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/ISITIA.2016.7828670

Cite this

Miftahushudur, T., Rahman, A. N., Setiawan, A., & Zilvan, V. (2017). Clustering object on surveillance radar display by combining ADBSCAN algorithm and marked boundary object. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy (pp. 269-274). Article 7828670 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA.2016.7828670

Miftahushudur, Tajul ; Rahman, Arief Nur ; Setiawan, Arie et al. / Clustering object on surveillance radar display by combining ADBSCAN algorithm and marked boundary object. Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 269-274 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

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title = "Clustering object on surveillance radar display by combining ADBSCAN algorithm and marked boundary object",

abstract = "The received information on radar processor that collected from radar transmitter sometimes are not good enough to be displayed on the radar display. This problem makes user difficult to distinguish noise and object. One technique that can be used to solve this problem is by grouping the objects based its density. One of clustering method used to handle object clustering automatically is DBSCAN algorithm. Unfortunately, this algorithm has a high complexity that will interfere the radar performance. To overcome both of the problems, need a quick method that able to classify the object and the noise. This paper proposed a new clustering algorithm by combining ADBSCAN algorithm using Marked Boundary Object (MBO) as the policy connectivity. The developed algorithm has successfully implemented on PPET-LIPI radar display. This algorithm is shown promising running time performance than the original DBSCAN algorithm (increase of approximation 71\%).",

keywords = "ADBSCAN, Cluster, Marked boundary object, Radar display",

author = "Tajul Miftahushudur and Rahman, \{Arief Nur\} and Arie Setiawan and Vicky Zilvan",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 ; Conference date: 28-07-2016 Through 30-07-2016",

year = "2017",

month = jan,

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doi = "10.1109/ISITIA.2016.7828670",

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series = "Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy",

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Miftahushudur, T, Rahman, AN, Setiawan, A & Zilvan, V 2017, Clustering object on surveillance radar display by combining ADBSCAN algorithm and marked boundary object. in Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy., 7828670, Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy, Institute of Electrical and Electronics Engineers Inc., pp. 269-274, 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016, Lombok, Indonesia, 28/07/16. https://doi.org/10.1109/ISITIA.2016.7828670

Clustering object on surveillance radar display by combining ADBSCAN algorithm and marked boundary object. / Miftahushudur, Tajul; Rahman, Arief Nur; Setiawan, Arie et al.
Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. p. 269-274 7828670 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Clustering object on surveillance radar display by combining ADBSCAN algorithm and marked boundary object

AU - Miftahushudur, Tajul

AU - Rahman, Arief Nur

AU - Setiawan, Arie

AU - Zilvan, Vicky

PY - 2017/1/20

Y1 - 2017/1/20

N2 - The received information on radar processor that collected from radar transmitter sometimes are not good enough to be displayed on the radar display. This problem makes user difficult to distinguish noise and object. One technique that can be used to solve this problem is by grouping the objects based its density. One of clustering method used to handle object clustering automatically is DBSCAN algorithm. Unfortunately, this algorithm has a high complexity that will interfere the radar performance. To overcome both of the problems, need a quick method that able to classify the object and the noise. This paper proposed a new clustering algorithm by combining ADBSCAN algorithm using Marked Boundary Object (MBO) as the policy connectivity. The developed algorithm has successfully implemented on PPET-LIPI radar display. This algorithm is shown promising running time performance than the original DBSCAN algorithm (increase of approximation 71%).

AB - The received information on radar processor that collected from radar transmitter sometimes are not good enough to be displayed on the radar display. This problem makes user difficult to distinguish noise and object. One technique that can be used to solve this problem is by grouping the objects based its density. One of clustering method used to handle object clustering automatically is DBSCAN algorithm. Unfortunately, this algorithm has a high complexity that will interfere the radar performance. To overcome both of the problems, need a quick method that able to classify the object and the noise. This paper proposed a new clustering algorithm by combining ADBSCAN algorithm using Marked Boundary Object (MBO) as the policy connectivity. The developed algorithm has successfully implemented on PPET-LIPI radar display. This algorithm is shown promising running time performance than the original DBSCAN algorithm (increase of approximation 71%).

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BT - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016

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Miftahushudur T, Rahman AN, Setiawan A, Zilvan V. Clustering object on surveillance radar display by combining ADBSCAN algorithm and marked boundary object. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc. 2017. p. 269-274. 7828670. (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). doi: 10.1109/ISITIA.2016.7828670

Clustering object on surveillance radar display by combining ADBSCAN algorithm and marked boundary object

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this