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.
Contributions are invited on the following topics and those related to them:
signature modeling and validation
background properties
aided and automatic target typing, classification, and discrimination
low signal-to-clutter ratio processing
tracking in complex backgrounds
signature management
advances in algorithms for sensor signal and data processing
simulation and performance evaluation
sensor data fusion, multiple source integration
adaptive processing methods
artificial intelligence techniques for target – background discrimination
processing multi-/hyperspectral data
multisensor signature prediction model
camouflage effectiveness
signatures in relation to drone/UAV detection
human observer performance.
Sep 11
2017
Sep 14
2017
Abstract Submission Deadline
Abstract Notification of Acceptance
Final Paper Deadline
Registration deadline
2016-09-26 United Kingdom Edinburgh,UK
2016 Target and Background Signatures
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