Survey on dim small target detection in clutter background: Wavelet, inter-frame and filter based algorithms

Xiangzhi Bai; Shan Zhang; Binbin Du; Zhaoying Liu; Ting Jin; Bindang Xue; Fugen Zhou

doi:10.1016/j.proeng.2011.08.091

Survey on dim small target detection in clutter background: Wavelet, inter-frame and filter based algorithms

Xiangzhi Bai^*
, Shan Zhang
, Binbin Du
, Zhaoying Liu
, Ting Jin
, Bindang Xue
, Fugen Zhou

^*Corresponding author for this work

School of Astronautics

Beihang University
Schlumberger

Research output: Contribution to journal › Conference article › peer-review

29 Scopus citations

Abstract

Dim small target is an active and important research area in image processing and pattern recognition. Various algorithms have been proposed to detect and track dim small target. This paper reviews some algorithms for dim small target detection, including the wavelet based algorithms, inter-frame difference based algorithms and filter based algorithms. Also, the further development of the technologies has been briefly analyzed.

Original language	English
Pages (from-to)	479-483
Number of pages	5
Journal	Procedia Engineering
Volume	15
DOIs	https://doi.org/10.1016/j.proeng.2011.08.091
State	Published - 2011
Event	2011 International Conference on Advanced in Control Engineering and Information Science, CEIS 2011 - Dali, Yunnam, China Duration: 18 Aug 2011 → 19 Aug 2011

Keywords

Clutter background
Dim small target
Survey
Target detection

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10.1016/j.proeng.2011.08.091

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title = "Survey on dim small target detection in clutter background: Wavelet, inter-frame and filter based algorithms",

abstract = "Dim small target is an active and important research area in image processing and pattern recognition. Various algorithms have been proposed to detect and track dim small target. This paper reviews some algorithms for dim small target detection, including the wavelet based algorithms, inter-frame difference based algorithms and filter based algorithms. Also, the further development of the technologies has been briefly analyzed.",

keywords = "Clutter background, Dim small target, Survey, Target detection",

author = "Xiangzhi Bai and Shan Zhang and Binbin Du and Zhaoying Liu and Ting Jin and Bindang Xue and Fugen Zhou",

year = "2011",

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language = "英语",

volume = "15",

pages = "479--483",

journal = "Procedia Engineering",

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T1 - Survey on dim small target detection in clutter background

T2 - 2011 International Conference on Advanced in Control Engineering and Information Science, CEIS 2011

AU - Bai, Xiangzhi

AU - Zhang, Shan

AU - Du, Binbin

AU - Liu, Zhaoying

AU - Jin, Ting

AU - Xue, Bindang

AU - Zhou, Fugen

PY - 2011

Y1 - 2011

N2 - Dim small target is an active and important research area in image processing and pattern recognition. Various algorithms have been proposed to detect and track dim small target. This paper reviews some algorithms for dim small target detection, including the wavelet based algorithms, inter-frame difference based algorithms and filter based algorithms. Also, the further development of the technologies has been briefly analyzed.

AB - Dim small target is an active and important research area in image processing and pattern recognition. Various algorithms have been proposed to detect and track dim small target. This paper reviews some algorithms for dim small target detection, including the wavelet based algorithms, inter-frame difference based algorithms and filter based algorithms. Also, the further development of the technologies has been briefly analyzed.

KW - Clutter background

KW - Dim small target

KW - Survey

KW - Target detection

UR - https://www.scopus.com/pages/publications/84055190059

U2 - 10.1016/j.proeng.2011.08.091

DO - 10.1016/j.proeng.2011.08.091

M3 - 会议文章

AN - SCOPUS:84055190059

SN - 1877-7058

VL - 15

SP - 479

EP - 483

JO - Procedia Engineering

JF - Procedia Engineering

Y2 - 18 August 2011 through 19 August 2011

ER -

Survey on dim small target detection in clutter background: Wavelet, inter-frame and filter based algorithms

Abstract

Keywords

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