SMALL TARGET DETECTION BASED ON INFRARED IMAGE ADAPTIVE

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 8 , ISSUE 1 (March 2015) > List of articles

SMALL TARGET DETECTION BASED ON INFRARED IMAGE ADAPTIVE

Hao Chen * / Hong Zhang / Yifan Yang / Ding Yuan

Keywords : Target enhancement, local spectrum suppression, regular patches, log amplitude spectrum, TDI.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 8, Issue 1, Pages 497-515, DOI: https://doi.org/10.21307/ijssis-2017-769

License : (CC BY-NC-ND 4.0)

Received Date : 26-October-2014 / Accepted: 23-January-2015 / Published Online: 01-March-2015

ARTICLE

ABSTRACT

This paper studies the multi-resolution analysis of infrared image preprocessing method based on wavelet transform, wavelet transform infrared image of small target for pretreatment, after pretreatment suppressed image background clutter, improved signal to noise ratio. On this basis, studies based on infrared image sequences generated background Kalman filter and target detection algorithm, given the principle of the algorithm, time-domain method for generating fading background and moving object extraction methods such as recursive least squares method, and the experimental results show that the algorithm capable of detecting small targets in infrared images, with good results. based pretreatment small target motion continuity characteristics studied image sequences small moving target detection algorithm based on weighted dynamic programming, dynamic programming algorithm principle is given, analysis of the direct method and the accumulation of gray dynamic programming algorithm based on similar likelihood function for dynamic programming problems arise energy diffusion gives improved dynamic programming algorithm: weighted dynamic programming algorithm, the algorithm implementation steps, testing and experimental structure the results were analyzed, the results show that the algorithm for small moving target detection with good results. Finally, this paper studied the infrared image reject false target trajectory get the real target trajectory correlation method, so as to improve the detection rate and reduce the false alarm rate the purpose.

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REFERENCES

[1] Lian Zhao, Mark, J.W., Integrated Power control and rate allocation for radio resource
management in uplink wideband CDMA systems, Sixth IEEE International Symposium on a
World of Wireless Mobile and Multimedia Networks, pp.428-436, 2005.
[2] Qi S X, Ma J, Li H, Zhang S, et al. Infrared small target enhancement via phase spectrum of
Quaternion Fourier Transform, Infrared Physics & Technology, vol.62, pp.50-58, 2014.
[3] Aparna Akula; et al., Adaptive Contour-Based Statistical Background Subtraction Method for
Moving Target Detection in Infrared Video Sequences, Infrared Physics & Technology, vol.
63, pp.103–109, 2014..
[4] Qi Yang; Junwei Wang; Zhirong Liu; Feng Bao,Application of Median Filtering on Piv
Images Analysis, 2011 International Conference on ter Science and Service System (CSSS),
pp. 2108-2111, 2011 .
[5] Peng, Guihua;Chen, He;Wu, Qiang, Infrared Small Target Detection Under Complex
Background, Advanced Materials Research, vol.346, pp.615-619, 2012.
[6] Gang Cao Yao Zhao Rongrong Ni Lifang Yu Huawei Tian, Forensic Detection of Median
Filtering in Digital Images, 2010 IEEE International Conference on Multimedia and Expo
(ICME), pp.89 - 94, 2010 .
[7] Wang X, Liu L, Tang ZM. Infrared dim target detection based on fractal dimension and thirdorder
characterization. Chinese Optics Letters, vol.7, no.10, pp.931-933, 2009.
[8] Jufeng Zhao, Huajun Feng, et.al., Real-time automatic small target detection using saliency
extraction and morphological theory, Optics & Laser Technology, vol.47, pp.268–277, 2013..
[9] Itti L, Koch C, Niebur E. A model of saliency-based visual attention for rapid scene analysis,
IEEE Trans. Pattern Anal. Mach. Intell, vol.20, no. 12, pp.1254-1259, 1998.
[10] Ko B C, Nam J. Object-of-interset image segmentation based on human attention and
semantic region clustering, J. Opt. Soc. Am. A, vol.23, pp. 2462-2470, 2006.
[11] Xu Y, Zhao Y, Jin C, et al. Salient target detection based on pseudo-Wigner-Ville
distribution and Renyi entropy, Opt. Lett., 35, 475-477, 2010.
[12] Li W. Saliency-based automatic target detection in forward looking infrared images, 2009
16th IEEE International Conference on Image Processing (ICIP), pp. 957-960, 2009.
[13] Li J, An X, Xu X, et al. Visula saliency based on scale-space analysis in the frequency
domain. IEEE Trans. Pattern Anal. Mach. Intell, vol.35, no. 4, pp. 996-1010, 2013.
[14] Haralick M. Digital step edges from zero crossing of second directional derivatives. IEEE
Trans. Pattern Anal. Mach. Intell, Vol.6, pp. 58-68, 1984.
[15] Yang L, Yang J, Yang K. Adaptive detection for infrared small target under sea–sky
complex background, Electron. Lett. 40 (17) (2004) 1083-1085.
[16] Wang G D, Chen C Y, Shen X B. Facet-based infrared small target detection method,
Electron. Lett, vol.41, no. 22, pp.1244-1246, 2005.
[17] Hou X, Zhang L. Saliency Detection: A Spectral Residual Approach, IEEE Conference on
Computer Vision and Pattern Recognition, pp. 1 – 8, 2007.
[18] Guo C, Ma Q, Zhang L. Spatio-Temporal Saliency Detection Using Phase Spectrum of
Quaternion Fourier Transform, IEEE Conference on Computer Vision and Pattern
Recognition, pp. 1 – 8, 2008.
[19] Duncan J, Humphreys G. Visual Search and Stimulus Similarity, Psychological Rev., vol.
96, no. 3, pp. 433-458, 1989.
[20] G. Sen Gupta, S.C. Mukhopadhyay and M Finnie, Wi-Fi Based Control of a Robotic
Arm with Remote Vision, Proceedings of 2009 IEEE I2MTC Conference, Singapore, May 5-
7, 2009, pp. 557-562.
[21] Qi S X, Ma J, Tao C, et al. A robust directional saliency-based method for infrared smalltarget
detection under various complex backgrounds. IEEE Geoscience and Remote Sensing
Letters, vol.10 , pp. 495-499, 2013.
[22] G.Sengupta, T.A.Win, C.Messom, S.Demidenko and S.C.Mukhopadhyay, “Defect
analysis of grit-blasted or spray printed surface using vision sensing technique”, Proceedings
of Image and Vision Computing NZ, Nov. 26-28, 2003, Palmerston North, pp. 18-23.
[23] Alfredo Vacearo, Domenieo Villacei. Performance analysis of low earth orbit satellites
for Power system communication, Electric Power Systems Researeh, vol.73, no.3, pp. 287-
294, 2005.
[24] Yanmin LUO, Peizhong LIU and Minghong LIAO, An artificial immune network
clustering algorithm for mangroves remote sensing image, International Journal on Smart
Sensing and Intelligent Systems, VOL. 7, NO. 1, pp. 116 – 134, 2014

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