Algorithms for optical weak small targets detection and tracking: Review

Wei Zhang; Mingyu Cong; Liping Wang

doi:10.1109/ICNNSP.2003.1279357

Algorithms for optical weak small targets detection and tracking: Review

Wei Zhang^*
, Mingyu Cong
, Liping Wang

^*Corresponding author for this work

School of Astronautics, Harbin Institute of Technology

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

183 Scopus citations

Abstract

This paper provides an extensive review of algorithms currently used for detection and tracking in optical weak small targets environments where conventional tracking techniques are inadequate. Firstly, the constructions of point source target and detection model are introduced. Then, the algorithms of background clutter suppression (temporal filter, spatial Filter, and three-dimensional matched filter algorithms) are reviewed. Finally, the concepts of track-before-detect (TbD) are reviewed and the major existing approaches are described, similarities and difference between the various approaches (velocity filter, three-structured multistage hypothesis testing, frequency domain, dynamic programming, and optimal nonlinear filter algorithms) are highlighted.

Original language	English
Title of host publication	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages	643-647
Number of pages	5
DOIs	https://doi.org/10.1109/ICNNSP.2003.1279357
State	Published - 2003
Externally published	Yes
Event	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China Duration: 14 Dec 2003 → 17 Dec 2003

Publication series

Name	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Volume	1

Conference

Conference	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Country/Territory	China
City	Nanjing
Period	14/12/03 → 17/12/03

Access to Document

10.1109/ICNNSP.2003.1279357

Cite this

Zhang, W., Cong, M., & Wang, L. (2003). Algorithms for optical weak small targets detection and tracking: Review. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 (pp. 643-647). Article 1279357 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 1). https://doi.org/10.1109/ICNNSP.2003.1279357

@inproceedings{79e38658dfb24df2b485d3c46594a1b6,

title = "Algorithms for optical weak small targets detection and tracking: Review",

abstract = "This paper provides an extensive review of algorithms currently used for detection and tracking in optical weak small targets environments where conventional tracking techniques are inadequate. Firstly, the constructions of point source target and detection model are introduced. Then, the algorithms of background clutter suppression (temporal filter, spatial Filter, and three-dimensional matched filter algorithms) are reviewed. Finally, the concepts of track-before-detect (TbD) are reviewed and the major existing approaches are described, similarities and difference between the various approaches (velocity filter, three-structured multistage hypothesis testing, frequency domain, dynamic programming, and optimal nonlinear filter algorithms) are highlighted.",

author = "Wei Zhang and Mingyu Cong and Liping Wang",

year = "2003",

doi = "10.1109/ICNNSP.2003.1279357",

language = "英语",

isbn = "0780377028",

series = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

pages = "643--647",

booktitle = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

note = "2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 ; Conference date: 14-12-2003 Through 17-12-2003",

}

Zhang, W, Cong, M & Wang, L 2003, Algorithms for optical weak small targets detection and tracking: Review. in Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03., 1279357, Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, vol. 1, pp. 643-647, 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, Nanjing, China, 14/12/03. https://doi.org/10.1109/ICNNSP.2003.1279357

Algorithms for optical weak small targets detection and tracking: Review. / Zhang, Wei; Cong, Mingyu; Wang, Liping.
Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. 2003. p. 643-647 1279357 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 1).

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

TY - GEN

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AU - Cong, Mingyu

AU - Wang, Liping

PY - 2003

Y1 - 2003

N2 - This paper provides an extensive review of algorithms currently used for detection and tracking in optical weak small targets environments where conventional tracking techniques are inadequate. Firstly, the constructions of point source target and detection model are introduced. Then, the algorithms of background clutter suppression (temporal filter, spatial Filter, and three-dimensional matched filter algorithms) are reviewed. Finally, the concepts of track-before-detect (TbD) are reviewed and the major existing approaches are described, similarities and difference between the various approaches (velocity filter, three-structured multistage hypothesis testing, frequency domain, dynamic programming, and optimal nonlinear filter algorithms) are highlighted.

AB - This paper provides an extensive review of algorithms currently used for detection and tracking in optical weak small targets environments where conventional tracking techniques are inadequate. Firstly, the constructions of point source target and detection model are introduced. Then, the algorithms of background clutter suppression (temporal filter, spatial Filter, and three-dimensional matched filter algorithms) are reviewed. Finally, the concepts of track-before-detect (TbD) are reviewed and the major existing approaches are described, similarities and difference between the various approaches (velocity filter, three-structured multistage hypothesis testing, frequency domain, dynamic programming, and optimal nonlinear filter algorithms) are highlighted.

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M3 - 会议稿件

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SN - 9780780377028

T3 - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

SP - 643

EP - 647

BT - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

Y2 - 14 December 2003 through 17 December 2003

ER -

Algorithms for optical weak small targets detection and tracking: Review

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