??????????? Automatic detection of small targets in infrared image sequences containing evolving cloud clutter

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???????????Automatic detection of small targets
in infrared image sequences containing evolving
cloud clutter

• NSC89-2623-D-110-001
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Project description

• Goal Automatic, real-time detection of small
  targets in sequences of thermal infrared images
  containing evolving cloud clutter
• PFA (probability of false acceptance)
• PFR (probability of false rejection)
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• ??????????????The Likelihood Ratio
  Test?Pre-Whitening??????????????????,????????,????
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Image with true targets
Original image
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a single frame of processed output data
a single frame of typical input data
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• Hypotheses
• Targets hotter than surrounding -gt positive
  contrast
• Restricted size and aspect ratio -gt temporal and
  spatial behavior of the background noise, target
  and clutter on a single pixel basis.
• Parameters of acquisition
• Targets moving , sensors either moving or
  stationary
• Sensor to scene distance unknown
• Speed and altitude of sensor movement unknown
• Looking angle of sensor unknown
• Ranges of possible target size wide (2 200
  pixels)

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Method

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with
and
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Conventional processing chain

Advanced processing chain
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Multi-sensor fusion

• Advantages
• Availability of complementary information
• Improved performance to countermeasures
• Improved performance in adverse conditions
• -gt measurement level fusion done in raw data
• feature level fusion some features extracted
  from raw data are fused
• decision level fusion decisions are drawn from
  the data of each separate data, then combined to
  reach a global decision

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Measurement level fusion

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• Original image

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Original image
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