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This conference deals with algorithmic and experimental approaches for distinguishing the weak signal of a target from a cluttered background of images covering the spectral region from the visible up to the thermal infrared. Making this distinction requires characterization of the target properties and characterization of the backgrounds. Knowledge of target and background signatures is essential for various applications such as systems engineering and evaluation (e.g. electro-optical sensors or for camouflage design), operational planning and development of ATR algorithms. The conference also covers methods for assessing the influence of signature reduction and signature management at different levels such as platform signature, tactical application and operational capabilities.

征稿信息

重要日期

2016-03-28
摘要截稿日期
2016-05-30
摘要录用日期
2016-08-29
初稿截稿日期

征稿范围

  • signature modeling and validation

  • background properties

  • target recognition

  • target typing, classification, and discrimination

  • low signal-to-clutter ratio processing

  • automatic target recognition

  • tracking in cluttered environment

  • signature management

  • advances in algorithms for sensor signal and data processing

  • simulation and performance evaluation

  • single and multiple target tracking

  • sensor data fusion, multiple source integration

  • adaptive processing methods

  • processing multi/hyperspectral data

  • multisensor signature prediction model

  • camouflage effectiveness

  • signatures in relation to drone/UAV detection

  • human observer performance.

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重要日期
  • 会议日期

    09月26日

    2016

    09月29日

    2016

  • 03月28日 2016

    摘要截稿日期

  • 05月30日 2016

    摘要录用通知日期

  • 08月29日 2016

    初稿截稿日期

  • 09月29日 2016

    注册截止日期

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