Automated peak detection in doppler spectra of HF surface wave radar

Yu Ru Chen, Zsu-Hsin Chuang, Yu Jen Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

High-frequency surface wave radar is suitable for large-area detection of vessels. This study develops an automated identification procedure to improve an artificial technique for finding the local peak in Doppler spectra. For obtaining vessel information, an image processing method, namely the watershed segmentation, is integrated into the adaptive signal identification (ASI) algorithm, which has been developed by our research group, for rapid division of several local regions of spectra to extract ship returns. A comparison with automatic identification system (AIS) data proves the feasibility of the proposed method for automatically detecting vessel echoes.

Original languageEnglish
Title of host publication2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538616543
DOIs
Publication statusPublished - 2018 Dec 4
Event2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 - Kobe, Japan
Duration: 2018 May 282018 May 31

Publication series

Name2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018

Other

Other2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
CountryJapan
CityKobe
Period18-05-2818-05-31

Fingerprint

Watersheds
Surface waves
surface wave
surface waves
vessels
radar
Identification (control systems)
Ships
Radar
Image processing
vessel
data systems
system identification
ships
image processing
segmentation
division
echoes
watershed
detection

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Oceanography
  • Space and Planetary Science
  • Energy Engineering and Power Technology
  • Ocean Engineering
  • Acoustics and Ultrasonics
  • Instrumentation

Cite this

Chen, Y. R., Chuang, Z-H., & Chung, Y. J. (2018). Automated peak detection in doppler spectra of HF surface wave radar. In 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 [8559286] (2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OCEANSKOBE.2018.8559286
Chen, Yu Ru ; Chuang, Zsu-Hsin ; Chung, Yu Jen. / Automated peak detection in doppler spectra of HF surface wave radar. 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018).
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author = "Chen, {Yu Ru} and Zsu-Hsin Chuang and Chung, {Yu Jen}",
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Chen, YR, Chuang, Z-H & Chung, YJ 2018, Automated peak detection in doppler spectra of HF surface wave radar. in 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018., 8559286, 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018, Institute of Electrical and Electronics Engineers Inc., 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018, Kobe, Japan, 18-05-28. https://doi.org/10.1109/OCEANSKOBE.2018.8559286

Automated peak detection in doppler spectra of HF surface wave radar. / Chen, Yu Ru; Chuang, Zsu-Hsin; Chung, Yu Jen.

2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8559286 (2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - High-frequency surface wave radar is suitable for large-area detection of vessels. This study develops an automated identification procedure to improve an artificial technique for finding the local peak in Doppler spectra. For obtaining vessel information, an image processing method, namely the watershed segmentation, is integrated into the adaptive signal identification (ASI) algorithm, which has been developed by our research group, for rapid division of several local regions of spectra to extract ship returns. A comparison with automatic identification system (AIS) data proves the feasibility of the proposed method for automatically detecting vessel echoes.

AB - High-frequency surface wave radar is suitable for large-area detection of vessels. This study develops an automated identification procedure to improve an artificial technique for finding the local peak in Doppler spectra. For obtaining vessel information, an image processing method, namely the watershed segmentation, is integrated into the adaptive signal identification (ASI) algorithm, which has been developed by our research group, for rapid division of several local regions of spectra to extract ship returns. A comparison with automatic identification system (AIS) data proves the feasibility of the proposed method for automatically detecting vessel echoes.

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Chen YR, Chuang Z-H, Chung YJ. Automated peak detection in doppler spectra of HF surface wave radar. In 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8559286. (2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018). https://doi.org/10.1109/OCEANSKOBE.2018.8559286