Target and Background Signatures: Traditional Methods and Artificial Intelligence X

This conference deals with algorithmic and experimental approaches for distinguishing the weak signals of targets from a cluttered background, for sensors covering the spectral region from the visible up to the thermal infrared. Making this distinction requires either detailed characterization of the target properties and characterization of the backgrounds /and could use Artificial Intelligence techniques to distinguish based on training data. Knowledge of target and background signatures is essential for various applications such as systems engineering and evaluation (e.g. electro-optical sensors or camouflage design), operational planning and development of ATR algorithms. The conference also covers methods for signature reduction and signature management as well as techniques for assessing the influence of signature management at different levels such as platform signature, tactical application and operational capabilities. These signature reduction design and assessment techniques may include Artificial Intelligence.

Contributions are invited on the following topics and those related to them:

• signature modeling and validation
• artificial intelligence in signature reduction
• background properties
• aided and automatic target typing, classification, and discrimination
• low signal-to-clutter ratio processing
• tracking in complex backgrounds
• signature management and signature monitoring
• methods and materials for signature reduction
• advances in algorithms for sensor signal and data processing
• simulation and performance evaluation including human observer performance
• sensor data fusion, multiple source integration
• artificial intelligence techniques for target – background discrimination
• signature management against artificial intelligence
• processing multi-/hyperspectral data
• multisensor signature prediction model
• camouflage effectiveness
• signature features in relation to sensor capabilities and sensor processing.