INFRARED SMALL TARGET DETECTION ALGORITHM BASED ON SELF-ADAPTIVE BACKGROUND FORECAST-Reference-Cited by-同舟云学术

INFRARED SMALL TARGET DETECTION ALGORITHM BASED ON SELF-ADAPTIVE BACKGROUND FORECAST

Published:2007-05-08 Issue:12 Volume:27 Page:1619-1624
ISSN:0195-9271
Container-title:International Journal of Infrared and Millimeter Waves
language:en
Short-container-title:Int J Infrared Milli Waves

Author:

Chen Zhenxue,Wang Guoyou,Liu Jianguo,Liu Chengyun

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation,Radiation

Link

http://link.springer.com/content/pdf/10.1007/s10762-006-9158-8.pdf

Reference5 articles.

1. Denney, B.S., and de Figuiredo.: ’Optimal point target detection using adaptive auto regressive background predictive’. Signal and Data Processing of Small Target, Orlando, FL, USA, 2000, 4048, pp.46–57

2. Yang, L., Yang, J., and Yang, K.: ’Adaptive detection for infrared small target under sea-sky complex background’, Electron. Lett., 2004, 40,(17), pp.1083–1085

3. Sang, H.-Sh., Chen, Ch.-Y., and Shen, X.-B.: ’Structural parameter of TDNLMS adaptive prediction filter used in point objects detection in digital image data’, J. Huozhong Univ. Sci. Technol. (Nature Sci. Edn.), 2003,31,(1), pp.58–60

4. Ye, Z.J., et al.: ’Detection algorithm of weak infrared point targets under complicated background of sea and sky’, J. Infrared Millim. Waves, 2000, 19(2), pp.121–124

5. Ulisses, B.N., C. Manish, and G. John. Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators. J. Electron Imag. 2004, 13(4), pp.802–813.

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