A Novel Approach for Recognition and Identification of Low-Level Flight Military Aircraft using Naive Bayes Classifier and Information Fusion

(1) * Arwin Datumaya Wahyudi Sumari Mail (Cognitive Artificial Intelligence Research Group (CAIRG), Department of Electrical Engineering, Politeknik Negeri Malang, and Abdulrachman Saleh Air Force Base, 2nd Operation Command, Indonesian Air Force, Indonesia)
(2) Afifah Millatina Nugraheni Mail (Department of Information Technology, Politeknik Negeri Malang, Indonesia)
(3) Yoppy Yunhasnawa Mail (Department of Information Technology, Politeknik Negeri Malang, Indonesia)
*corresponding author


A problem that has been faced by the Radar is if the aircraft flies at low level or near to the surface so its coming in the aerial-surveillance airspace cannot be detected and endangers the air sovereignty. The aircraft can be recognized and identified by carrying out a technique called Visual Aircraft Recognition (VACR) using a binocular. This technique requires military personnel that has capability carrying out the air surveillance from the ground. Surveillance is a time-consuming and tiring task so it can cause fatigue and impact to the results of the recognition and identification. To cope with this problem, we have designed and implemented a novel recognition and identification method using the combination of Naive Bayes Classifier (NBC) and information fusion. By using a dataset that consists of 45 military aircrafts, 35 civilian aircrafts, 40 military helicopters, and 35 civilian helicopters with 80:20 dataset distribution for the training scheme and the validation one, we obtained the recognition accuracy of 87.1%. We also found that the recognition and identification process can be speeded up 1.2 seconds when using information fusion.


Artificial Intelligence, Information Fusion, Low-Level Flight, Military Aircraft, Naive Bayes Classifier, Recognition and Identification




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T. Nallusamy and P. Balaji, "Optimization of NOE Flights Sensors and Their Integration," in Advances in Human and Machine Navigation Systems, London, IntechOpen, 2019.

H. D. o. t. Army, "The Army Publishing Directorate," 5 May 2017. [Online]. Available: http://www.apd.army.mil. [Accessed 21 January 2021].

Nopriansyah, A. I. Wuryandari, A. D. W. Sumari and A. Setiawan, "Sistem Identification Friend, Foe, or Neutral Radar Menggunakan Radar Cross Section dan Kecepatan Pesawat Berbasis Jaringan Syaraf Tiruan Adaptive Resonance Theory 1 dan Fusi Informasi," in Seminar Radar Nasional 2008 (SRN2008), Jakarta, 2008.

N. I. Utama, A. I. Wuryandari and A. D. W. Sumari, "Perbandingan Performansi Sistem Identifikasi Pesawat Menggunakan Jaringan Syaraf Tiruan Mode Adaptif Resonance Theory 1 dan 2," in Seminar Radar Nasional III 2009 (SRNIII2009), Bandung, 2009.

M. Darusman, A. D. W. Sumari and A. I. Wuryandari, "Sistem Identifikasi Pesawat Menggunakan Kecepatan dan Radar Cross Section Pesawat Berbasis Jaringan Syaraf Tiruan Backpropagation," in Seminar Radar Nasional III 2009 (SRNIII2009), Bandung, 2009.

A. I. Wuryandari, A. D. W. Sumari, Nopriansyah, N. I. Utama and M. Darusman, "The Performance of Intelligent and Unintelligent Approaches on Aircraft Identification Tasks," in The 2nd International Conference on Electrical Engineering and Informatics 2009 (ICEEI2009), Kuala Lumpur, 2009.

A. C. Vicory, "A Brief History of Aircraft Identification Training," Human Resourccs Research Office The George Washington University., Alexandria, 1968.

J. Honovich, "Detection, Classsification, Recognition and Identification (DCRI)," IPVM, [Online]. Available: https://ipvm.com/reports/detection-recognition-and-identification. [Accessed 12 April 2021].

S. Anderson, "RTO SET Symposium on “Target Identification and Recognition Using RF Systems”," 11 October 2004. [Online]. Available: http://ftp.rta.nato.int/public/PubFullText/RTO/MP/RTO-MP-SET-080/MP-SET-080-25.pdf. [Accessed 14 March 2021].

R. D. Baldwin, R. E. Cliborn and R. J. Foskett, "The Acquisition and Retention of Visual Aircraft Recognition Skills," Human Resourccs Research Office The George Washington University., Alexandria, 1976.

U. D. Library, "WEFT is a system for aircraft recognition : wing, engine, fuselage, tail," UNT Libraries Government Documents Department, 19 August 2021. [Online]. Available: https://digital.library.unt.edu/ark:/67531/metadc247/m1/1/. [Accessed 22 August 2021].

O. Somantri and M. Khambali, "Feature Selection Klasifikasi Kategori Cerita Pendek Menggunakan Naïve Bayes dan Algoritme Genetika," Jurnal Nasional Teknik Elektro Dan Teknologi Informasi (JNTETI), vol. 6, p. 301–306, 2017.

A. Ahmad and A. Sumari, "Cognitive Artificial Intelligence: Brain¬-Inspired Intelligent Computation in Artificial Intelligence," in Computing Conference 2017, London, 2017.

D. Berliner, Aircraft Stealth Fighters and Bombers, Berkeley Heights: Enslow Pubishers Inc., 2001.

B. Gunston, An Illustrated Guide to Modern Fighters and Attack Aircraft, London: Salamander Books Ltd., 1980.

E. T. Institute, "Aircraft Performance Database," EUROCONTROL Training Institute, [Online]. Available: https://contentzone.eurocontrol.int/aircraftperformance/default.aspx?. [Accessed 4 March 2021].

B. C. Wheeler, An Illustrated Guide to Modern Fighters and Attack Aircraft, London: Salamander Books Ltd., 1985.

S. J. Zaloga, Modern Soviet Warplanes: Strike Aircafts & Attack Helicopters, Concord Publications Company, 1992.

Skybrary, "Casa CN-235," SKYbrary, 14 December 2014. [Online]. Available: https://www.skybrary.aero/index.php/CN35. [Accessed 7 July 2021].

A. Genys, "Airtech CN.235 Medium transport aircraft," Military-Today.com, 2021. [Online]. Available: http://www.military-today.com/aircraft/airtech_cn235.htm. [Accessed 7 July 2021].

S. Hoarn, "A-10 Thunderbolt II Anniversary I Photos," Defense Media Network, 31 May 2012. [Online]. Available: https://www.defensemedianetwork.com/stories/a-10-thunderbolt-ii-anniversary-i-photos/. [Accessed 23 June 2021].

Aviatia, "Chengdu J-7," Comparison - BVR - Dogfight, 2021. [Online]. Available: https://aviatia.net/chengdu-j-7/. [Accessed 14 August 2021].

O. Staff, "Fact Check: Did India lie about shooting down Pakistani F-16 fighter jet?," OpIndia, 19 March 2019. [Online]. Available: https://www.opindia.com/2019/03/fact-check-did-india-lie-about-shooting-down-pakistani-f-16-fighter-jet/. [Accessed 14 August 2021].

A. Technology, "JF-17 Thunder / FC-1 Xiaolong Multirole Combat Aircraft," Verdict Media Limited, 2021. [Online]. Available: https://www.airforce-technology.com/projects/fc1xiaolongjf17thund/. [Accessed 13 August 2021].

planephotos.net, "Photo #22521 01 - Yakovlev Yak-130 operated by Yakovlev Design Bureau," PlanePhotos.Net. , 2021. [Online]. Available: https://www.planephotos.net/photo/22521/Yakovlev-Yak-130_01/. [Accessed 16 August 2021].

T. M. a. A. Region, "Hongdu L-15/L-15B/JL-10H Supersonic Trainer / Attack Aircraft, China," 2021. [Online]. Available: https://thaimilitaryandasianregion.wordpress.com/2015/10/31/hongdu-jl-10l-15-falcon-training-and-light-attack-aircraft/. [Accessed 15 August 2021].

A. Somasundaram and U. S. Reddy, "Data Imbalance: Effects and Solutions for Classification of Large and Highly Imbalanced Data," in The 1st International Conference on Research in Engineering, Computers and Technology (ICRECT 2016), Trichy, 2016.

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