Abstract
The well understood lack of a 'silver bullet' sensor technology which can provide everything wanted from Intelligence, Surveillance, Target Acquisition and Reconnaissance (ISTAR) when using a single sensor type on a single platform, combined with the improved ability to network multiple platforms together is at the heart of the growth in networkcentric ISTAR. When this is linked to the growth in data storage capacity then a much richer and more beneficial opportunity for the transformation of network-centric ISTAR opens out. In particular the long term storage of sensor data (at detection or pre-detection points in the sensor processing chain) enables the traditional one-way data fusion (or signal processing) approach to be turned into a much richer two-way (or bi-directional) chain of adaptive processes where higher level context is used routinely, hypothesis testing is the norm and the system can report on both the positive presence and absence of 'targets' of interest. Finally the paper discusses some of the key challenges to be overcome if the potential advantages of fully networked bidirectional adaptive signal and data processing are to be realised.
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