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Proceedings Paper

Pixel partition method using Markov random field for measurements of closely spaced objects by optical sensors
Author(s): Xueying Wang; Jun Li; Weidong Sheng; Wei An; Qinfeng Du
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Paper Abstract

ABSTRACT In Space-based optical system, during the tracking for closely spaced objects (CSOs), the traditional method with a constant false alarm rate(CFAR) detecting brings either more clutter measurements or the loss of target information. CSOs can be tracked as Extended targets because their features on optical sensor’s pixel-plane. A pixel partition method under the framework of Markov random field(MRF) is proposed, simulation results indicate: the method proposed provides higher pixel partition performance than traditional method, especially when the signal-noise-rate is poor.

Paper Details

Date Published: 12 October 2015
PDF: 7 pages
Proc. SPIE 9639, Sensors, Systems, and Next-Generation Satellites XIX, 963925 (12 October 2015); doi: 10.1117/12.2194348
Show Author Affiliations
Xueying Wang, National Univ. of Defense Technology (China)
Jun Li, National Univ. of Defense Technology (China)
Weidong Sheng, National Univ. of Defense Technology (China)
Wei An, National Univ. of Defense Technology (China)
Qinfeng Du, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9639:
Sensors, Systems, and Next-Generation Satellites XIX
Roland Meynart; Steven P. Neeck; Haruhisa Shimoda, Editor(s)

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