An algorithm for detecting small and dim target in IR image based on reconstruction from wavelet transform modulus

Xiao Qiong Li; Cai Cheng Shi; Er Ke Mao

doi:10.1117/12.836052

An algorithm for detecting small and dim target in IR image based on reconstruction from wavelet transform modulus

Xiao Qiong Li^*, Cai Cheng Shi, Er Ke Mao

^*Corresponding author for this work

School of Medical and Technology

Beijing Institute of Technology

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

2 Citations (Scopus)

Abstract

According the pre-research, the distribution of small and dim targets' edges make obvious difference to that of clouds that are the main interferences under cloud clutter. In this essay, the characteristics of multi-scale edges are used to locate the correlation coefficient, the small targets and noise are the category of Impulse-edge and background is the category of step-edge, and then the background is reconstructed the by the alternative projection algorithm directly. Finally, using the threshold to the result that is from the subtraction between reconstructed image and original image, the targets can be acquired. The experiments show that the method can get a lower false alarm rate in a low signal to noise ratio.

Original language	English
Title of host publication	International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Infrared Imaging and Applications
DOIs	https://doi.org/10.1117/12.836052
Publication status	Published - 2009
Event	International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications - Beijing, China Duration: 17 Jun 2009 → 19 Jun 2009

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7383
ISSN (Print)	0277-786X

Conference

Conference	International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications
Country/Territory	China
City	Beijing
Period	17/06/09 → 19/06/09

Keywords

Detection
IR image
Multi-scale edge
Reconstruction of background
Target
Wavelet transform modulus

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10.1117/12.836052

Cite this

Li, X. Q., Shi, C. C., & Mao, E. K. (2009). An algorithm for detecting small and dim target in IR image based on reconstruction from wavelet transform modulus. In International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Infrared Imaging and Applications Article 738343 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7383). https://doi.org/10.1117/12.836052

@inproceedings{ef18ec11bfe74320be218d260a503734,

title = "An algorithm for detecting small and dim target in IR image based on reconstruction from wavelet transform modulus",

abstract = "According the pre-research, the distribution of small and dim targets' edges make obvious difference to that of clouds that are the main interferences under cloud clutter. In this essay, the characteristics of multi-scale edges are used to locate the correlation coefficient, the small targets and noise are the category of Impulse-edge and background is the category of step-edge, and then the background is reconstructed the by the alternative projection algorithm directly. Finally, using the threshold to the result that is from the subtraction between reconstructed image and original image, the targets can be acquired. The experiments show that the method can get a lower false alarm rate in a low signal to noise ratio.",

keywords = "Detection, IR image, Multi-scale edge, Reconstruction of background, Target, Wavelet transform modulus",

author = "Li, {Xiao Qiong} and Shi, {Cai Cheng} and Mao, {Er Ke}",

year = "2009",

doi = "10.1117/12.836052",

language = "English",

isbn = "9780819476647",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Infrared Imaging and Applications",

note = "International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications ; Conference date: 17-06-2009 Through 19-06-2009",

}

Li, XQ, Shi, CC & Mao, EK 2009, An algorithm for detecting small and dim target in IR image based on reconstruction from wavelet transform modulus. in International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Infrared Imaging and Applications., 738343, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, Beijing, China, 17/06/09. https://doi.org/10.1117/12.836052

An algorithm for detecting small and dim target in IR image based on reconstruction from wavelet transform modulus. / Li, Xiao Qiong; Shi, Cai Cheng; Mao, Er Ke.
International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Infrared Imaging and Applications. 2009. 738343 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7383).

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

TY - GEN

T1 - An algorithm for detecting small and dim target in IR image based on reconstruction from wavelet transform modulus

AU - Li, Xiao Qiong

AU - Shi, Cai Cheng

AU - Mao, Er Ke

PY - 2009

Y1 - 2009

N2 - According the pre-research, the distribution of small and dim targets' edges make obvious difference to that of clouds that are the main interferences under cloud clutter. In this essay, the characteristics of multi-scale edges are used to locate the correlation coefficient, the small targets and noise are the category of Impulse-edge and background is the category of step-edge, and then the background is reconstructed the by the alternative projection algorithm directly. Finally, using the threshold to the result that is from the subtraction between reconstructed image and original image, the targets can be acquired. The experiments show that the method can get a lower false alarm rate in a low signal to noise ratio.

AB - According the pre-research, the distribution of small and dim targets' edges make obvious difference to that of clouds that are the main interferences under cloud clutter. In this essay, the characteristics of multi-scale edges are used to locate the correlation coefficient, the small targets and noise are the category of Impulse-edge and background is the category of step-edge, and then the background is reconstructed the by the alternative projection algorithm directly. Finally, using the threshold to the result that is from the subtraction between reconstructed image and original image, the targets can be acquired. The experiments show that the method can get a lower false alarm rate in a low signal to noise ratio.

KW - Detection

KW - IR image

KW - Multi-scale edge

KW - Reconstruction of background

KW - Target

KW - Wavelet transform modulus

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U2 - 10.1117/12.836052

DO - 10.1117/12.836052

M3 - Conference contribution

AN - SCOPUS:70350060320

SN - 9780819476647

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Infrared Imaging and Applications

T2 - International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications

Y2 - 17 June 2009 through 19 June 2009

ER -

Li XQ, Shi CC, Mao EK. An algorithm for detecting small and dim target in IR image based on reconstruction from wavelet transform modulus. In International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Infrared Imaging and Applications. 2009. 738343. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.836052

An algorithm for detecting small and dim target in IR image based on reconstruction from wavelet transform modulus

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